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In 1960 , Ronald William Clark published a biography titled Sir Mortimer Wheeler . FitzRoy Somerset , 4th Baron Raglan reviewed the volume for the journal Man , describing " this very readable little book " as being " adulatory " in tone , " but hardly more so than its subject deserves . " In 1982 , the archaeologist ... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In 1960, Ronald William Clark published a biography titled<|end-PI|> <|retrieval|> <|start-KFI|>Sir Mortimer Wheeler<|end-KFI|>. <|start-PI|>FitzRoy Somerset, 4th Baron Raglan reviewed the volume for the journal Man, describing<|end-PI|> <|retrieval|> <|start-KFI|>\"this very readabl... |
In the 2000 film Hey Ram , the lead character , Saket Ram ( played by Kamal Haasan ) and his friend , Amjad Khan ( played by Shah Rukh Khan ) are shown as employees of Wheeler , who was portrayed by Lewis K. Elbinger , before the 1947 Hindu @-@ Muslim riots . In a 2003 volume of the South Asian Studies journal , Sudes... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In the 2000 film Hey Ram, the lead character, Saket Ram (played by Kamal Haasan) and his friend, Amjad Khan (played by Shah Rukh Khan) are shown as employees of Wheeler, who was portrayed by<|end-PI|> <|retrieval|> <|start-KFI|>Lewis K. Elbinger<|end-KFI|>, before the 1947 Hindu-Musl... |
There have been a number of potential species assigned to the carnosaurian dinosaur genus Allosaurus since its description in 1877 by Othniel Charles Marsh , but only a handful are still regarded as valid . Allosaurus was originally described from material from the Upper Jurassic Morrison Formation of the western Unit... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>There have been a number of potential species assigned to the carnosaurian dinosaur genus Allosaurus since its description in 1877 by<|end-PI|> <|retrieval|> <|start-KFI|>Othniel Charles Marsh<|end-KFI|>, but only a handful are still regarded as valid. <|start-PI|>Allosaurus was orig... |
The genus Allosaurus was part of the Marsh / Cope " Bone Wars " of the late 19th century , and its taxonomy became increasingly confused due to the competition , with several genera and species named by Cope and Marsh now regarded as synonyms of Allosaurus or A. fragilis . Since the description of Allosaurus , scienti... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The genus Allosaurus was part of the Marsh / Cope<|end-PI|> <|retrieval|> <|start-KFI|>\" Bone Wars \" of the late 19th century<|end-KFI|> , and <|start-PI|>its taxonomy became increasingly confused due to the competition , with<|end-PI|> <|retrieval|> <|start-KFI|>several genera and... |
The issue of synonyms is complicated by the type specimen of Allosaurus fragillis ( catalogue number YPM 1930 ) being extremely fragmentary , consisting of a few incomplete vertebrae , limb bone fragments , rib fragments , and a tooth . Because of this , several scientists have noted that the type specimen , and thus ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The issue of synonyms is complicated by the type specimen of Allosaurus fragillis ( catalogue number YPM 1930 ) being<|end-PI|> <|retrieval|> <|start-KFI|>extremely fragmentary , consisting of a few incomplete vertebrae , limb bone fragments , rib fragments , and a tooth<|end-KFI|>. ... |
It is unclear how many species of Allosaurus there were . Eight species have been considered potentially valid since 1988 ( A. amplexus , A. atrox , A. europaeus , the type species A. fragilis , the as @-@ yet not formally described " A. jimmadseni " , A. lucasi , A. maximus , and A. tendagurensis ) , although only ab... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>It is unclear how many species of Allosaurus there were<|end-PI|> <|retrieval|> <|start-KFI|>Eight species have been considered potentially valid since 1988<|end-KFI|> <|start-PI|>Eight species have been considered potentially valid since 1988<|end-PI|> <|retrieval|> <|start-KFI|>( A... |
A. fragilis is the type species and was named by Marsh in 1877 . It is known from the remains of at least sixty individuals , all found in the Kimmeridgian – Tithonian Upper Jurassic @-@ age Morrison Formation of the United States , spread across the states of Colorado , Montana , New Mexico , Oklahoma , South Dakota ... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A. fragilis is the type species and was named by<|end-PI|> <|retrieval|> <|start-KFI|>Marsh in 1877<|end-KFI|>. <|start-PI|>It is known from the remains of at least<|end-PI|> <|retrieval|> <|start-KFI|>sixty individuals<|end-KFI|>, <|start-PI|>all found in the Kimmeridgian – Tithonia... |
A. amplexus was named by Gregory S. Paul for giant Morrison allosaur remains , and included in his conception Saurophagus maximus ( later Saurophaganax ) . A. amplexus was originally coined by Cope in 1878 as the type species of his new genus Epanterias , and is based on what is now AMNH 5767 , parts of three vertebra... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A. amplexus was named by Gregory S. Paul for<|end-PI|> <|retrieval|> <|start-KFI|>giant Morrison allosaur remains<|end-KFI|>, and included in his conception Saurophagus maximus ( later Saurophaganax ). <|start-PI|>A. amplexus was originally coined by Cope in 1878 as<|end-PI|> <|retri... |
Allosaurus material from Portugal was first reported in 1999 on the basis of MHNUL / AND.001 , a partial skeleton including a quadrate , vertebrae , ribs , gastralia , chevrons , part of the hips , and hindlimbs . This specimen was assigned to A. fragilis , but the subsequent discovery of a partial skull and neck ( ML... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Allosaurus material from Portugal was first reported in 1999 on the basis of<|end-PI|> <|retrieval|> <|start-KFI|>MHNUL / AND.001 , a partial skeleton including a quadrate , vertebrae , ribs , gastralia , chevrons , part of the hips , and hindlimbs<|end-KFI|> . <|start-PI|>This speci... |
Daniel Chure 's work on Morrison allosaurid remains has been responsible , directly or indirectly , for " A. jimmadseni " and A. maximus . " A. jimmadseni " is the proposed name for a new species of Morrison allosaur , based on a nearly complete skeleton and skull . A. sp . 2 , as it is also known , differs from A. fr... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Daniel Chure's work on Morrison allosaurid remains has been responsible, directly or indirectly, for<|end-PI|> <|retrieval|> <|start-KFI|>\"A. jimmadseni\" and A. maximus<|end-KFI|>. <|start-PI|>\"A. jimmadseni\" is the proposed name for a new species of Morrison allosaur, based on<|... |
The perception that there were two common Allosaurus species in the Morrison Formation was popularized in Gregory S. Paul 's 1988 book Predatory Dinosaurs of the World . Paul proposed that A. fragilis had tall pointed horns and a slender build compared to a postulated second species A. atrox , and was not a different ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The perception that there were two common Allosaurus species in the Morrison Formation was popularized in<|end-PI|> <|retrieval|> <|start-KFI|>Gregory S. Paul 's 1988 book Predatory Dinosaurs of the World<|end-KFI|> . <|start-PI|>Paul proposed that A. fragilis had<|end-PI|> <|retriev... |
David K. Smith , examining Allosaurus fossils by quarry , found that the Cleveland Lloyd Dinosaur Quarry ( Utah ) specimens are generally smaller than those from Como Bluff ( Wyoming ) or Brigham Young University 's Dry Mesa Quarry ( Colorado ) , but the shapes of the bones themselves did not vary between the sites . ... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>David K. Smith , examining Allosaurus fossils by quarry , found that the Cleveland Lloyd Dinosaur Quarry ( Utah ) specimens are generally<|end-PI|> <|retrieval|> <|start-KFI|>smaller than those from Como Bluff ( Wyoming ) or Brigham Young University 's Dry Mesa Quarry ( Colorado ) , ... |
A number of species assigned to Allosaurus are no longer recognized as valid , for one reason or another . Species " A. agilis " , seen in Zittel , 1887 , and Osborn , 1912 , is a typographical error for A. fragilis . Marsh 's A. ferox ( 1896 ; not to be confused with his 1884 Labrosaurus ferox , also part of Allosaur... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Species \"A. agilis\", seen in Zittel, 1887, and Osborn, 1912, is<|end-PI|> <|retrieval|> <|start-KFI|>a typographical error for A. fragilis<|end-KFI|>. <|start-PI|>Marsh's A. ferox (1896; not to be confused with his 1884 Labrosaurus ferox, also part of Allosaurus taxonomy) was<|end-... |
Several species coined in genera other than Allosaurus are also now thought to be synonymous with A. fragilis . Labrosaurus ferox was named in 1884 by Marsh for an oddly formed partial lower jaw , with a prominent gap in the tooth row at the tip of the jaw , and a rear section greatly expanded and turned down . Later ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> Labrosaurus ferox was named in 1884 by Marsh for <|end-PI|> <|retrieval|> <|start-KFI|> an oddly formed partial lower jaw , with a prominent gap in the tooth row at the tip of the jaw , and a rear section greatly expanded and turned down <|end-KFI|> . <|start-PI|> Later researchers ... |
Several species initially classified within or referred to Allosaurus do not belong within the genus . A. medius was named by Marsh in 1888 for " various specimens " from the Early Cretaceous of Maryland , although most of the remains were removed by Richard Swann Lull to the new ornithopod species Dryosaurus grandis ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Several species initially classified within or referred to Allosaurus do not belong within the genus . A. medius was named by Marsh in 1888 for<|end-PI|> <|retrieval|> <|start-KFI|>\" various specimens \" from the Early Cretaceous of Maryland<|end-KFI|> , although most of the remains... |
Allosaurus meriani was described in 1870 by Greppin as a species of Megalosaurus , based on a tooth from the Late Jurassic of Switzerland . It has occasionally been referred to Allosaurus , but recent reviews have listed it as dubious theropod species Megalosaurus meriani , or included it in Ceratosaurus sp . Allosaur... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Allosaurus meriani was described in 1870 by Greppin as a species of Megalosaurus , based on<|end-PI|> <|retrieval|> <|start-KFI|>a tooth from the Late Jurassic of Switzerland<|end-KFI|> . <|start-PI|>It has occasionally been referred to Allosaurus , but recent reviews have listed it ... |
There are also several species left over from the synonymizations of Creosaurus and Labrosaurus with Allosaurus . Creosaurus potens was named by Lull in 1911 for a vertebra from the Early Cretaceous of Maryland . It is now regarded as a dubious theropod . Labrosaurus fragilis is a typographical error by Marsh ( 1896 )... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>There are also several species left over from the synonymizations of Creosaurus and Labrosaurus with Allosaurus .<|end-PI|> <|retrieval|> <|start-KFI|>Creosaurus potens was named by Lull in 1911 for a vertebra from the Early Cretaceous of Maryland . It is now regarded as a dubious th... |
A. tendagurensis was named in 1925 by Werner Janensch for a partial shin ( HM 67 ) found in the Kimmeridgian @-@ age rocks of Tendaguru , in Mtwara , Tanzania . This species has not had strong support in recent years , with opinions on its identity ranging from a tentatively valid species of Allosaurus , to a basal te... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A. tendagurensis was named in 1925 by Werner Janensch for<|end-PI|> <|retrieval|> <|start-KFI|>a partial shin ( HM 67 ) found in the Kimmeridgian @-@ age rocks of Tendaguru , in Mtwara , Tanzania<|end-KFI|>. <|start-PI|>This species has not had strong support in recent years , with o... |
Kurzanov and colleagues in 2003 designated six teeth from Siberia as Allosaurus sp . ( meaning the authors found the specimens to be most like those of Allosaurus , but did not or could not assign a species ) . Also , reports of Allosaurus in Shanxi , China go back to at least 1982 .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Kurzanov and colleagues in 2003 designated six teeth from Siberia as<|end-PI|> <|retrieval|> <|start-KFI|>Allosaurus sp . ( meaning the authors found the specimens to be most like those of Allosaurus , but did not or could not assign a species )<|end-KFI|> . <|start-PI|>Also , report... |
An astragalus ( ankle bone ) thought to belong to a species of Allosaurus was found at Cape Paterson , Victoria in Early Cretaceous beds in southeastern Australia . It was thought to provide evidence that Australia was a refugium for animals that had gone extinct elsewhere . This identification was challenged by Samue... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>An astragalus ( ankle bone ) thought to belong to a species of Allosaurus was found at<|end-PI|> <|retrieval|> <|start-KFI|>Cape Paterson , Victoria in Early Cretaceous beds in southeastern Australia<|end-KFI|> . <|start-PI|>It was thought to provide evidence that Australia was<|end-... |
Astraeus hygrometricus , commonly known as the hygroscopic earthstar , the barometer earthstar , or the false earthstar , is a species of fungus in the Diplocystaceae family . Young specimens resemble a puffball when young and unopened . In maturity , the mushroom displays the characteristic earthstar shape that is a ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Astraeus hygrometricus , commonly known as<|end-PI|> <|retrieval|> <|start-KFI|>the hygroscopic earthstar , the barometer earthstar , or the false earthstar<|end-KFI|> , <|start-PI|>Astraeus hygrometricus , is a species of fungus in the<|end-PI|> <|retrieval|> <|start-KFI|>Diplocysta... |
Despite a similar overall appearance , A. hygrometricus is not related to the true earthstars of genus Geastrum , although historically , they have been taxonomically confused . The species was first described by Christiaan Hendrik Persoon in 1801 as Geastrum hygrometricus . In 1885 , Andrew P. Morgan proposed that di... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Despite a similar overall appearance , A. hygrometricus is not related to<|end-PI|> <|retrieval|> <|start-KFI|>the true earthstars of genus Geastrum , although historically , they have been taxonomically confused<|end-KFI|> . <|start-PI|>The species was first described by Christiaan ... |
Because this species resembles the earthstar fungi of Geastrum , it was placed in that genus by early authors , starting with Christian Hendrik Persoon in 1801 ( as Geaster , an alternate spelling of Geastrum ) . According to the American botanist Andrew P. Morgan , however , the species differed from those of Geastru... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Because this species resembles the earthstar fungi of Geastrum , it was placed in that genus by early authors , starting with<|end-PI|> <|retrieval|> <|start-KFI|>Christian Hendrik Persoon in 1801 ( as Geaster , an alternate spelling of Geastrum )<|end-KFI|> . <|start-PI|>According t... |
The treatment of this species by certain taxonomists well illustrates the pitfalls that lie in wait for those who worship at the shrine of ontogenic classification ... The only feature of those outlined in which the species differs from others of Geastrum is the somewhat primitive hymenium . In the developing plant th... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The treatment of this species by certain taxonomists well illustrates<|end-PI|> <|retrieval|> <|start-KFI|>the pitfalls that lie in wait for those who worship at the shrine of ontogenic classification<|end-KFI|> ... <|start-PI|>The only feature of those outlined in which the species ... |
Cunningham 's treatment was not followed by later authorities , who largely considered Astraeus a distinct genus . According to the taxonomical authority MycoBank , synonyms of Astraeus hygrometricus include Lycoperdon stellatus Scop . ( 1772 ) ; Geastrum fibrillosum Schwein . ( 1822 ) ; Geastrum stellatum ( Scop . ) ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Cunningham's treatment was not followed by later authorities, who largely considered<|end-PI|> <|retrieval|> <|start-KFI|>Astraeus a distinct genus<|end-KFI|>. <|start-PI|>According to the taxonomical authority MycoBank, synonyms of Astraeus hygrometricus include<|end-PI|> <|retrieva... |
Astraeus hygrometricus has been given a number of colloquial names that allude to its hygroscopic behavior , including the " hygrometer earthstar " , the " hygroscopic earthstar " , the " barometer earthstar " , and the " water @-@ measure earthstar " . The resemblance to Geastrum species ( also known as true earthsta... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Astraeus hygrometricus has been given a number of colloquial names that allude to its hygroscopic behavior , including<|end-PI|> <|retrieval|> <|start-KFI|>the \" hygrometer earthstar \" , the \" hygroscopic earthstar \" , the \" barometer earthstar \" , and the \" water @-@ measure ... |
Studies in the 2000s showed that several species from Asian collection sites labelled under the specific epithet hygrometricus were actually considerably variable in a number of macroscopic and microscopic characteristics . Molecular studies of the DNA sequences of the ITS region of the ribosomal DNA from a number of ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Studies in the 2000s showed that several species from Asian collection sites labelled under the specific epithet hygrometricus were actually<|end-PI|> <|retrieval|> <|start-KFI|>considerably variable in a number of macroscopic and microscopic characteristics<|end-KFI|>. <|start-PI|>M... |
A form of the species found in Korea and Japan , A. hygrometricus var. koreanus , was named by V.J. Stanĕk in 1958 ; it was later ( 1976 ) published as a distinct species — A. koreanus — by Hanns Kreisel . As pointed out by Fangfuk and colleagues , clarification of the proper name for this taxon must await analysis of... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A form of the species found in Korea and Japan , A. hygrometricus var. koreanus , was named by<|end-PI|> <|retrieval|> <|start-KFI|>V.J. Stanĕk in 1958<|end-KFI|> ; <|start-PI|>it was later ( 1976 ) published as a distinct species — A. koreanus — by<|end-PI|> <|retrieval|> <|start-KF... |
Young specimens of A. hygrometricus have roughly spherical fruit bodies that typically start their development partially embedded in the substrate . A smooth whitish mycelial layer covers the fruit body , and may be partially encrusted with debris . As the fruit body matures , the mycelial layer tears away , and the o... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Young specimens of A. hygrometricus have roughly spherical fruit bodies that<|end-PI|> <|retrieval|> <|start-KFI|>typically start their development partially embedded in the substrate<|end-KFI|> . A smooth whitish mycelial layer covers the fruit body , and may be partially encrusted ... |
The fruit body is 1 – 8 cm ( 0 @.@ 4 – 3 @.@ 1 in ) in diameter from tip to tip when expanded . The exoperidium is thick , and the rays are typically areolate ( divided into small areas by cracks and crevices ) on the upper surface , and are dark grey to black . The spore case is sessile ( lacking a stalk ) , light gr... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The fruit body is<|end-PI|> <|retrieval|> <|start-KFI|>1 – 8 cm ( 0 @.@ 4 – 3 @.@ 1 in ) in diameter from tip to tip when expanded<|end-KFI|> . <|start-PI|>The exoperidium is thick , and the rays are typically<|end-PI|> <|retrieval|> <|start-KFI|>areolate ( divided into small areas b... |
The spores are spherical or nearly so , reddish @-@ brown , thick @-@ walled and verrucose ( covered with warts and spines ) . The spores ' dimensions are 7 – 11 µm ; the warts are about 1 µm long . The spores are non @-@ amyloid , and will not stain with iodine from Melzer 's reagent . The use of scanning electron mi... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The spores are spherical or nearly so , reddish @-@ brown , thick @-@ walled and<|end-PI|> <|retrieval|> <|start-KFI|>verrucose ( covered with warts and spines )<|end-KFI|> . <|start-PI|>The spores ' dimensions are<|end-PI|> <|retrieval|> <|start-KFI|>7 – 11 µm ; the warts are about ... |
North American sources describe A. hygrometricus as being of either unknown edibility , or too tough to be edible . However , they are regularly consumed in Asia , including Nepal and South Bengal , where " local people consume them as delicious food " . They are collected from the wild and sold in the markets of Indi... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>North American sources describe A. hygrometricus as being of<|end-PI|> <|retrieval|> <|start-KFI|>either unknown edibility , or too tough to be edible<|end-KFI|> . <|start-PI|>However , they are regularly consumed in Asia , including<|end-PI|> <|retrieval|> <|start-KFI|>Nepal and Sou... |
A study of a closely related southeast Asian Astraeus species concluded that the fungus contained an abundance of volatile eight @-@ carbon compounds ( including 1 @-@ octanol , 1 @-@ octen @-@ 3 @-@ ol , and 1 @-@ octen @-@ 3 @-@ one ) that imparted a " mushroom @-@ like , earthy , and pungent odor that was evident a... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A study of a closely related southeast Asian Astraeus species concluded that the fungus contained an abundance of volatile eight @-@ carbon compounds<|end-PI|> <|retrieval|> <|start-KFI|>( including 1 @-@ octanol , 1 @-@ octen @-@ 3 @-@ ol , and 1 @-@ octen @-@ 3 @-@ one )<|end-KFI|>... |
Although A. hygrometricus bears a superficial resemblance to member of the " true earthstars " Geastrum , it may be readily differentiated from most by the hygroscopic nature of its rays . Hygroscopic earthstars include G. arenarium , G. corollinum , G. floriforme , G. recolligens , and G. kotlabae . Unlike Geastrum ,... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Although A. hygrometricus bears a superficial resemblance to member of the \" true earthstars \" Geastrum , it may be readily differentiated from most by<|end-PI|> <|retrieval|> <|start-KFI|>the hygroscopic nature of its rays<|end-KFI|> . <|start-PI|>Hygroscopic earthstars include<|e... |
Astraeus pteridis is larger , 5 to 15 cm ( 2 @.@ 0 to 5 @.@ 9 in ) or more when expanded , and often has a more pronounced areolate pattern on the inner surface of the rays . It is found in North America and the Canary Islands . A. asiaticus and A. odoratus are two similar species known from throughout Asia and Southe... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Astraeus pteridis is larger , 5 to 15 cm (<|end-PI|><|retrieval|><|start-KFI|>2 @.@ 0 to 5 @.@ 9 in ) or more when expanded<|end-KFI|> , and often has a more pronounced areolate pattern on the inner surface of the rays . <|start-PI|>Astraeus pteridis is found in<|end-PI|><|retrieval|... |
Astraeus hygrometricus is an ectomycorrhizal fungus and grows in association with a broad range of tree species . The mutualistic association between tree roots and the mycelium of the fungus helps the trees extract nutrients ( particularly phosphorus ) from the earth ; in exchange , the fungus receives carbohydrates ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Astraeus hygrometricus is an ectomycorrhizal fungus and grows in association with<|end-PI|> <|retrieval|> <|start-KFI|>a broad range of tree species<|end-KFI|> . <|start-PI|>The mutualistic association between tree roots and the mycelium of the fungus helps the trees extract<|end-PI|... |
The species has a cosmopolitan distribution except for arctic , alpine and cold temperate regions ; it is common in temperate and tropical regions of the world . It has been collected in Africa , Asia , Australia , Europe , North America , and South America .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The species has a cosmopolitan distribution except for<|end-PI|> <|retrieval|> <|start-KFI|>arctic , alpine and cold temperate regions<|end-KFI|> ; <|start-PI|>The species has a cosmopolitan distribution except for arctic , alpine and cold temperate regions ; it is common in<|end-PI|... |
Mushroom polysaccharides from a number of species have attracted research interest for their immunomodulatory and antitumor properties . Extracts from A. hygrometricus containing the polysaccharide named AE2 were found to inhibit the growth of several tumor cell lines in laboratory tests , and stimulated the growth of... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> Mushroom polysaccharides from a number of species have attracted research interest for their immunomodulatory and antitumor properties . <|end-PI|> <|start-PI|> Extracts from A. hygrometricus containing the polysaccharide named AE2 were found to <|end-PI|> <|retrieval|> <|start-KFI|... |
In addition to the previously known steroid compounds ergosta @-@ 7 @,@ 22 @-@ diene @-@ 3 @-@ ol acetate and ergosta @-@ 4,6,8- ( 14 ) , 22 @-@ tetraene @-@ 3 @-@ one , three unique triterpenes — derivatives of 3 @-@ hydroxy @-@ lanostane — have been isolated from fruit bodies of A. hygrometricus . The compounds , na... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In addition to the previously known steroid compounds ergosta @-@ 7 @,@ 22 @-@ diene @-@ 3 @-@ ol acetate and ergosta @-@ 4,6,8- ( 14 ) , 22 @-@ tetraene @-@ 3 @-@ one , three unique triterpenes — derivatives of 3 @-@ hydroxy @-@ lanostane — have been isolated from fruit bodies of<|e... |
Ethanol extracts of the fruit body are high in antioxidant activity , and have been shown in laboratory tests to have anti @-@ inflammatory activity comparable to the drug diclofenac . Studies with mouse models have also demonstrated hepatoprotective ( liver @-@ protecting ) ability , possibly by restoring diminished ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Ethanol extracts of the fruit body are high in antioxidant activity , and have been shown in laboratory tests to have<|end-PI|> <|retrieval|> <|start-KFI|>anti @-@ inflammatory activity comparable to the drug diclofenac<|end-KFI|> . <|start-PI|>Studies with mouse models have also dem... |
This earthstar has been used in traditional Chinese medicine as a hemostatic agent ; the spore dust is applied externally to stop wound bleeding and reduce chilblains . Two Indian forest tribes , the Baiga and the Bharia of Madhya Pradesh , have been reported to use the fruit bodies medicinally . The spore mass is ble... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>This earthstar has been used in traditional Chinese medicine as<|end-PI|> <|retrieval|> <|start-KFI|>a hemostatic agent ; the spore dust is applied externally to stop wound bleeding and reduce chilblains<|end-KFI|> . <|start-PI|>Two Indian forest tribes , the Baiga and the Bharia of ... |
Paul Thomas Anderson ( born June 26 , 1970 ) also known as P.T. Anderson , is an American film director , screenwriter and producer . Interested in film @-@ making at a young age , Anderson was encouraged by his father Ernie Anderson ( a disc jockey , and television and radio announcer / voiceover artist ) to become a... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Paul Thomas Anderson ( born<|end-PI|> <|retrieval|> <|start-KFI|>June 26 , 1970<|end-KFI|> ) <|start-PI|>Paul Thomas Anderson also known as<|end-PI|> <|retrieval|> <|start-KFI|>P.T. Anderson<|end-KFI|> , <|start-PI|>Paul Thomas Anderson is an American<|end-PI|> <|retrieval|> <|start-... |
In 1993 , he wrote and directed a short film titled Cigarettes & Coffee on a budget of $ 20 @,@ 000 . After he attended the Sundance Institute , Anderson had a deal with Rysher Entertainment to direct his first feature film , a neo @-@ noir crime thriller titled Hard Eight , in 1996 . Anderson received critical and co... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In 1993, he wrote and directed a short film titled<|end-PI|> <|retrieval|> <|start-KFI|>Cigarettes & Coffee on a budget of $ 20,000<|end-KFI|>. <|start-PI|>After he attended the Sundance Institute, Anderson had a deal with Rysher Entertainment to direct his first feature film,<|end-P... |
In 2002 , the romantic comedy @-@ drama Punch @-@ Drunk Love , Anderson 's fourth feature , was released to generally favorable reviews . After a five @-@ year absence , the epic drama There Will Be Blood was released to critical acclaim in 2007 . In 2012 , Anderson 's sixth film , the drama The Master , was released ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In 2002, the romantic comedy-drama Punch-Drunk Love, Anderson's fourth feature,<|end-PI|> <|retrieval|> <|start-KFI|>was released to generally favorable reviews<|end-KFI|>. <|start-PI|>After a five-year absence, the epic drama There Will Be Blood<|end-PI|> <|retrieval|> <|start-KFI|>... |
Anderson has been nominated for six Academy Awards over the course of his career , while his films have earned a further fourteen Academy Award nominations for cast and crew .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson has been nominated for<|end-PI|> <|retrieval|> <|start-KFI|>six Academy Awards over the course of his career<|end-KFI|> , while <|start-PI|>his films have earned a further<|end-PI|> <|retrieval|> <|start-KFI|>fourteen Academy Award nominations for cast and crew<|end-KFI|> ."... |
Anderson was born June 26 , 1970 , in Studio City , California , to Edwina ( née Gough ) and Ernie Anderson . Ernie was an actor who was the voice of ABC and a Cleveland television late @-@ night horror movie host known as " Ghoulardi " ( after whom Anderson later named his production company ) . Anderson grew up in t... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson was born<|end-PI|> <|retrieval|> <|start-KFI|>June 26 , 1970 , in Studio City , California<|end-KFI|> , <|start-PI|>to<|end-PI|> <|retrieval|> <|start-KFI|>Edwina ( née Gough ) and Ernie Anderson<|end-KFI|> . <|start-PI|>Ernie was an actor who was<|end-PI|> <|retrieval|> <|s... |
Anderson was involved in filmmaking at a young age and never really had an alternative plan to directing films . He made his first movie when he was eight years old and started making movies on a Betamax video camera which his dad bought in 1982 when he was twelve years old . He later started using 8 mm film but reali... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson was involved in filmmaking at a young age and<|end-PI|> <|retrieval|> <|start-KFI|>never really had an alternative plan to directing films<|end-KFI|>. <|start-PI|>He made his first movie when he was<|end-PI|> <|retrieval|> <|start-KFI|>eight years old<|end-KFI|> and started ... |
Anderson spent two semesters as an English major at Emerson College , and only two days at New York University before he began his career as a production assistant on television films , music videos and game shows in Los Angeles and New York City . Feeling that the material shown to him at film school turned the exper... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson spent two semesters as an English major at<|end-PI|> <|retrieval|> <|start-KFI|>Emerson College<|end-KFI|> , and <|start-PI|>Anderson spent only two days at<|end-PI|> <|retrieval|> <|start-KFI|>New York University<|end-KFI|> before <|start-PI|>Anderson began his career as a ... |
For $ 20 @,@ 000 , made up of gambling winnings , his girlfriend 's credit card , and money his father set aside for him for college , Anderson made Cigarettes & Coffee ( 1993 ) , a short film connecting multiple story lines with a twenty @-@ dollar bill . The film was screened at the 1993 Sundance Festival Shorts Pro... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>For $ 20 @,@ 000 , made up of gambling winnings , his girlfriend 's credit card , and money his father set aside for him for college , Anderson made<|end-PI|> <|retrieval|> <|start-KFI|>Cigarettes & Coffee ( 1993 ) , a short film connecting multiple story lines with a twenty @-@ doll... |
While at the Sundance Feature Film Program , Anderson already had a deal with Rysher Entertainment to direct his first feature . In 1996 , Anderson made his first full @-@ length feature , Sydney , which was retitled Hard Eight ( 1996 ) . Upon completion of the film , Rysher re @-@ edited it . Anderson , who still had... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> While at the Sundance Feature Film Program , Anderson already had a deal with Rysher Entertainment to <|end-PI|> <|retrieval|> <|start-KFI|> direct his first feature <|end-KFI|> . <|start-PI|> In 1996 , Anderson made his first full @-@ length feature , Sydney , which was retitled <|... |
Anderson began working on the script for his next feature film during his troubles with Hard Eight , completing the script in 1995 . The result was Anderson 's breakout for the drama film Boogie Nights ( 1997 ) , which is based on his short The Dirk Diggler Story . The script was noticed by New Line Cinema 's presiden... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson began working on the script for his next feature film during his troubles with Hard Eight , completing the script in<|end-PI|> <|retrieval|> <|start-KFI|>1995<|end-KFI|> . <|start-PI|>The result was Anderson 's breakout for the drama film<|end-PI|> <|retrieval|> <|start-KFI|... |
After the success of Boogie Nights , New Line told Anderson that he could do whatever he wanted for his next film and granted him creative control . Though Anderson initially wanted to make a film that was " intimate and small @-@ scale " , the script " kept blossoming " . The resulting film was the ensemble piece Mag... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>After the success of Boogie Nights, New Line told Anderson that he could do whatever he wanted for his next film and granted him<|end-PI|> <|retrieval|> <|start-KFI|>creative control<|end-KFI|>. Though Anderson initially wanted to make a film that was \"intimate and small-scale\", th... |
After the release of Magnolia , Anderson stated that he would like to work with comedic actor Adam Sandler in the future and that he was determined to make his next film 90 minutes long . His next feature was the romantic comedy @-@ drama film Punch @-@ Drunk Love ( 2002 ) , starring Sandler , with Emily Watson portra... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>After the release of Magnolia , Anderson stated that he would like to work with comedic actor<|end-PI|> <|retrieval|> <|start-KFI|>Adam Sandler in the future<|end-KFI|> and that he was determined to make his next film 90 minutes long . <|start-PI|>His next feature was the romantic co... |
There Will Be Blood ( 2007 ) was loosely based on the Upton Sinclair novel Oil ! . The budget of the film was $ 25 million , and it earned $ 76 @.@ 1 million worldwide . Daniel Day @-@ Lewis starred and won an Oscar for Best Leading Actor for his role . The film received eight nominations overall at the 80th Academy A... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>There Will Be Blood ( 2007 ) was loosely based on<|end-PI|> <|retrieval|> <|start-KFI|>the Upton Sinclair novel Oil !<|end-KFI|> . <|start-PI|>The budget of the film was<|end-PI|> <|retrieval|> <|start-KFI|>$ 25 million<|end-KFI|> , <|start-PI|>and it earned<|end-PI|> <|retrieval|> <... |
In December 2009 , Anderson was working on a new script tentatively titled The Master , about a " charismatic intellectual " who starts a new religion in the 1950s . An associate of Anderson stated that the idea for the film had been in Anderson 's head for about twelve years . Though the film makes no reference to th... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In December 2009, Anderson was working on a new script tentatively titled<|end-PI|> <|retrieval|> <|start-KFI|>The Master, about a \"charismatic intellectual\" who starts a new religion in the 1950s<|end-KFI|>. <|start-PI|>An associate of Anderson stated that the idea for the film ha... |
Production of Anderson 's adaptation of Thomas Pynchon 's 2009 novel Inherent Vice began in May 2013 and ended in August of the same year . The film marked the first time that Pynchon allowed his work to be adapted for the screen and saw Anderson work with Phoenix for a second time . The supporting cast includes Owen ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Production of Anderson 's adaptation of Thomas Pynchon 's 2009 novel Inherent Vice began in<|end-PI|> <|retrieval|> <|start-KFI|>May 2013 and ended in August of the same year<|end-KFI|>. <|start-PI|>The film marked the first time that Pynchon allowed<|end-PI|> <|retrieval|> <|start-K... |
In 2015 , Anderson directed a 54 @-@ minute documentary , Junun , about the making of an album of the same name by Jonny Greenwood , Israeli composer Shye Ben Tzur and a group of Indian musicians . Most of the performances were recorded at the 15th @-@ century Mehrangarh Fort in the Indian state of Rajasthan . Junun p... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In 2015, Anderson directed a 54 @-@ minute documentary, Junun, about<|end-PI|> <|retrieval|> <|start-KFI|>the making of an album of the same name by Jonny Greenwood, Israeli composer Shye Ben Tzur and a group of Indian musicians<|end-KFI|>. <|start-PI|>Most of the performances were r... |
Anderson is currently working on a drama about the New York fashion industry in the 1950s , which is expected to star Daniel Day @-@ Lewis in his first acting role since Lincoln in 2012 .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson is currently working on a drama about the New York fashion industry in the 1950s , which is expected to star<|end-PI|> <|retrieval|> <|start-KFI|>Daniel Day @-@ Lewis in his first acting role since Lincoln in 2012<|end-KFI|> .",
"error": 0,
"results": [
{
"Expl... |
Anderson was a standby director during the 2005 filming of Robert Altman 's A Prairie Home Companion for insurance purposes , as Altman was 80 years old at the time . In addition to films , Anderson has directed several music videos , including several for musician Fiona Apple . In 2008 , Anderson co @-@ wrote and dir... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson was a standby director during the 2005 filming of Robert Altman 's A Prairie Home Companion for<|end-PI|> <|retrieval|> <|start-KFI|>insurance purposes , as Altman was 80 years old at the time<|end-KFI|> . <|start-PI|>In addition to films , Anderson has directed several<|end... |
Anderson only attended film school for two days , preferring to learn the craft by watching films by the filmmakers he liked , as well as watching films accompanied by director 's audio commentary . Anderson has cited Martin Scorsese , Robert Altman , Jonathan Demme , Stanley Kubrick , Orson Welles and Max Ophüls , as... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson only attended film school for<|end-PI|> <|retrieval|> <|start-KFI|>two days<|end-KFI|> , preferring to learn the craft by watching films by the filmmakers he liked , as well as watching films accompanied by director 's audio commentary . <|start-PI|>Anderson has cited<|end-P... |
Anderson is known for films set in the San Fernando Valley with realistically flawed and desperate characters . Among the themes dealt with in Anderson 's films are dysfunctional familial relationships , alienation , surrogate families , regret , loneliness , destiny , the power of forgiveness , and ghosts of the past... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson is known for films set in the San Fernando Valley with<|end-PI|> <|retrieval|> <|start-KFI|>realistically flawed and desperate characters<|end-KFI|> . <|start-PI|>Among the themes dealt with in Anderson 's films are<|end-PI|> <|retrieval|> <|start-KFI|>dysfunctional familial... |
Within his first three films , Hard Eight , Boogie Nights and Magnolia , Anderson explored themes of dysfunctional families , alienation and loneliness . Boogie Nights and Magnolia were noted for their large ensemble casts , which Anderson returned to in Inherent Vice . In Punch @-@ Drunk Love , Anderson explored simi... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Within his first three films , Hard Eight , Boogie Nights and Magnolia , Anderson explored themes of<|end-PI|> <|retrieval|> <|start-KFI|>dysfunctional families , alienation and loneliness<|end-KFI|> . <|start-PI|>Boogie Nights and Magnolia were noted for their<|end-PI|> <|retrieval|... |
There Will Be Blood stood apart from his first four films but shared similar themes and style such as flawed characters , moving camera , memorable music , and a lengthy running time . The film was more overtly engaged with politics than his previous films had been , examining capitalism and themes such as savagery , ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>There Will Be Blood stood apart from his first four films but shared similar themes and style such as<|end-PI|> <|retrieval|> <|start-KFI|>flawed characters, moving camera, memorable music, and a lengthy running time<|end-KFI|>. <|start-PI|>The film was more overtly engaged with poli... |
Anderson frequently collaborates with many actors and crew , carrying them over from film to film . Anderson has referred to his regular actors as " my little rep company " that has included John C. Reilly , Philip Baker Hall , Julianne Moore , William H. Macy , Melora Walters , and most prominently , the late Philip ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson frequently collaborates with many actors and crew , carrying them over from film to film . Anderson has referred to his regular actors as<|end-PI|> <|retrieval|> <|start-KFI|>\" my little rep company \"<|end-KFI|> that has included John C. Reilly , Philip Baker Hall , Julian... |
Anderson dated ( and frequently collaborated with ) singer Fiona Apple for several years during the late 1990s and early 2000s . He has been in a relationship with actress and comedian Maya Rudolph since 2001 . They live together in the San Fernando Valley with their four children : daughters Pearl Bailey ( born Octob... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson dated ( and frequently collaborated with ) singer<|end-PI|> <|retrieval|> <|start-KFI|>Fiona Apple for several years during the late 1990s and early 2000s<|end-KFI|> . <|start-PI|>He has been in a relationship with actress and comedian<|end-PI|> <|retrieval|> <|start-KFI|>Ma... |
Anderson has been called " one of the most exciting talents to come along in years " and " among the supreme talents of today . " After the release of Boogie Nights and Magnolia , Anderson was praised as a wunderkind . In his 2002 interview with Jan Aghed , the director Ingmar Bergman referenced Magnolia as an example... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Anderson has been called<|end-PI|> <|retrieval|> <|start-KFI|>\" one of the most exciting talents to come along in years \" and \" among the supreme talents of today . \"<|end-KFI|> <|start-PI|>After the release of Boogie Nights and Magnolia , Anderson was praised as<|end-PI|> <|retr... |
The Fox , the Wolf and the Husbandman is a poem by the 15th @-@ century Scottish poet Robert Henryson and part of his collection of moral fables known as the Morall Fabillis of Esope the Phrygian . It is written in Middle Scots . As with the other tales in the collection , appended to it is a moralitas which elaborate... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Fox , the Wolf and the Husbandman is a poem by the 15th @-@ century Scottish poet<|end-PI|> <|retrieval|> <|start-KFI|>Robert Henryson<|end-KFI|> <|start-PI|>and part of his collection of moral fables known as<|end-PI|> <|retrieval|> <|start-KFI|>the Morall Fabillis of Esope the ... |
The tale combines two motifs . Firstly , a husbandman tilling the fields with his new oxen makes a rash oath aloud to give them to the wolf ; when the wolf overhears this , he attempts to make sure that the man fulfills his promise . The fox mediates a solution by speaking to them individually ; eventually he fools th... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The tale combines two motifs . Firstly , a husbandman tilling the fields with his new oxen makes a rash oath aloud to give them to the wolf ; when the wolf overhears this , he attempts to <|end-PI|> <|retrieval|> <|start-KFI|> make sure that the man fulfills his promise <|end-KFI|> ... |
A probable source of the tale is Petrus Alfonsi 's Disciplina clericalis , which has the same three motifs : the rash promise of the husbandman ; the wolf mistaking the moon for cheese ; and the wolf that descends into the well via a bucket , thereby trapping himself and freeing the fox . However , the discussion of l... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A probable source of the tale is<|end-PI|> <|retrieval|> <|start-KFI|>Petrus Alfonsi 's Disciplina clericalis , which has the same three motifs : the rash promise of the husbandman ; the wolf mistaking the moon for cheese ; and the wolf that descends into the well via a bucket , ther... |
Another source may be Aesop 's Fables as published by William Caxton — scholar John MacQueen considers this more likely than Disciplina clericalis — although the tale itself is not Aesopic but rather of the beast fable ( also beast @-@ epic ) genre . The plots of such works are more complicated than their Aesopic coun... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> Another source may be Aesop 's Fables as published by William Caxton — scholar John MacQueen considers this <|end-PI|> <|retrieval|> <|start-KFI|> more likely than Disciplina clericalis <|end-KFI|> — although the tale itself is not Aesopic but rather of the beast fable ( also beast ... |
A husbandman tilling the fields with his new , untrained oxen is made furious by their wrecking of the land . In his anger he makes the rash oath that the wolf " mot have you all at anis ! [ may , at once ] " . However , the wolf is lying nearby with the fox , and , overhearing it , promises to make him stay true to h... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A husbandman tilling the fields with his new , untrained oxen is made furious by<|end-PI|> <|retrieval|> <|start-KFI|>their wrecking of the land<|end-KFI|> . <|start-PI|>In his anger he makes the rash oath that<|end-PI|> <|retrieval|> <|start-KFI|>the wolf \" mot have you all at anis... |
The wolf , after some complaint , agrees to this and the two proceed through the woods after the prize — all the while the fox considers how to trick the wolf . Eventually , as the wolf complains of the fruitlessness of their quest , they arrive at a draw @-@ well with buckets on each end of a rope . Seeing the reflec... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The wolf , after some complaint , agrees to this and the two proceed through the woods after <|end-PI|> <|retrieval|> <|start-KFI|> the prize — all the while the fox considers how to trick the wolf <|end-KFI|> . Eventually , as the wolf complains of the fruitlessness of their quest ... |
The wolf is likened to a wicked man who oppresses others . The fox is likened to the devil . The farmer is likened to the godly man , with whom the fiend finds fault . The woods where the wolf was cheated are corrupting goods that man longs to get . The cheese represents covetousness ; the well that contains it is fra... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The wolf is likened to<|end-PI|> <|retrieval|> <|start-KFI|>a wicked man who oppresses others<|end-KFI|> . <|start-PI|>The fox is likened to<|end-PI|> <|retrieval|> <|start-KFI|>the devil<|end-KFI|> . <|start-PI|>The farmer is likened to<|end-PI|> <|retrieval|> <|start-KFI|>the godly... |
As with other tales in the collection , the moralitas of The Fox , the Wolf and the Husbandman can be considered at odds with the tale itself . Lianne Farber highlights a number of these discrepancies , and says that the allegory " does not hold true in any traditional sense " . Amongst the inconsistencies is that the... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>As with other tales in the collection , the moralitas of The Fox , the Wolf and the Husbandman can be considered<|end-PI|> <|retrieval|> <|start-KFI|>at odds with the tale itself<|end-KFI|> . <|start-PI|>Lianne Farber highlights a number of these discrepancies , and says that the all... |
According to Dorothy Yamamoto , the significant themes in the tale are " solidity and vacancy , substance and illusion " . The cheese that apparently resides in the well is only an illusion , not a solid object , and similarly the fox creates a surface reconciliation between the wolf and the husbandman , but which bet... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>According to Dorothy Yamamoto , the significant themes in the tale are<|end-PI|> <|retrieval|> <|start-KFI|>\" solidity and vacancy , substance and illusion \"<|end-KFI|> . <|start-PI|>The cheese that apparently resides in the well is<|end-PI|> <|retrieval|> <|start-KFI|>only an illu... |
Henryson , Robert ( 2009 ) . The Testament of Cresseid & seven fables . Trans. by Seamus Heaney . London : Faber and Faber . ISBN 9780571249282 .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Henryson , Robert ( 2009 ) . The Testament of Cresseid & seven fables . Trans. by<|end-PI|> <|retrieval|> <|start-KFI|>Seamus Heaney<|end-KFI|> . <|start-PI|>The Testament of Cresseid & seven fables . Trans. by Seamus Heaney . London :<|end-PI|> <|retrieval|> <|start-KFI|>Faber and F... |
Joseph Michael " Joe " Nathan ( born November 22 , 1974 ) is an American professional baseball pitcher for the Chicago Cubs of Major League Baseball ( MLB ) . Nathan started out his baseball career as a shortstop in high school and while at Stony Brook University , but converted to a pitcher after being drafted by the... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Joseph Michael \" Joe \" Nathan ( born<|end-PI|> <|retrieval|> <|start-KFI|>November 22 , 1974 )<|end-KFI|> <|start-PI|>Joseph Michael \" Joe \" Nathan ) is an American professional baseball pitcher for<|end-PI|> <|retrieval|> <|start-KFI|>the Chicago Cubs of Major League Baseball ( ... |
From 2004 to 2009 , Nathan was considered one of the top closers in MLB with four All @-@ Star appearances and a league @-@ leading 246 saves . In 2010 , Nathan underwent Tommy John surgery to repair a torn ulnar collateral ligament in his throwing elbow and missed the entire season . On April 3 , 2011 , Nathan record... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>From 2004 to 2009, Nathan was considered one of the top closers in MLB with<|end-PI|> <|retrieval|> <|start-KFI|>four All-Star appearances and a league-leading 246 saves<|end-KFI|>. <|start-PI|>In 2010, Nathan underwent Tommy John surgery to repair<|end-PI|> <|retrieval|> <|start-KFI... |
Nathan graduated from Pine Bush High School in Pine Bush , New York in 1992 , where he played basketball and baseball and ran track . Only Division III colleges showed minimal interest in him , and he ended up at Stony Brook University largely because his high school assistant coach Jeff Masionet and Stony Brook baseb... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan graduated from Pine Bush High School in Pine Bush , New York in<|end-PI|> <|retrieval|> <|start-KFI|>1992<|end-KFI|> , <|start-PI|>where he played basketball and baseball and ran<|end-PI|> <|retrieval|> <|start-KFI|>track<|end-KFI|> . <|start-PI|>Only Division III colleges sho... |
He first played shortstop for the then Division III Stony Brook Patriots ( now Division I and called the Seawolves ) , at Stony Brook University in Long Island , New York . Nathan became a two @-@ time Academic All @-@ American and graduating as a member of the Golden Key International Honour Society . During his tenu... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>He first played shortstop for the then Division III Stony Brook Patriots ( now Division I and called the Seawolves ) , at<|end-PI|> <|retrieval|> <|start-KFI|>Stony Brook University in Long Island , New York<|end-KFI|> . <|start-PI|>Nathan became a two @-@ time Academic All @-@ Ameri... |
In August 2008 , he gave the SUNY / Stony Brook athletics department $ 500 @,@ 000 for a new baseball facility . In recognition of this " lead gift " from the Joe Nathan Charitable Foundation , the college named it " Joe Nathan Field . "
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In August 2008, he gave the SUNY / Stony Brook athletics department<|end-PI|> <|retrieval|> <|start-KFI|>$ 500,000 for a new baseball facility<|end-KFI|>. <|start-PI|>In recognition of this \"lead gift\" from the Joe Nathan Charitable Foundation, the college named it<|end-PI|> <|retr... |
He began his minor league career in Class A for the Bellingham Giants . After an unsuccessful year at the plate the Giants tried to convert Nathan into a pitcher , but he refused and left to return to Stony Brook for a year , graduating with a degree in business management . He gave more thought to his future in baseb... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>He began his minor league career in Class A for<|end-PI|> <|retrieval|> <|start-KFI|>the Bellingham Giants<|end-KFI|> . <|start-PI|>After an unsuccessful year at the plate the Giants tried to convert Nathan into<|end-PI|> <|retrieval|> <|start-KFI|>a pitcher , but he refused and left... |
Nathan was promoted to the San Francisco Giants on April 20 , 1999 , taking the roster spot of superstar slugger Barry Bonds , who went on the disabled list after left elbow surgery . He made his major league debut the next day , pitching seven shutout innings and winning his first major league decision against the Fl... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan was promoted to the San Francisco Giants on<|end-PI|> <|retrieval|> <|start-KFI|>April 20 , 1999 , taking the roster spot of superstar slugger Barry Bonds , who went on the disabled list after left elbow surgery<|end-KFI|> . <|start-PI|>He made his major league debut the next ... |
After a short stint in the minors in 2000 , Nathan spent most of the season in the majors , finishing 5 – 2 and even hitting two home runs . But he struggled with his control , walking 63 in 931 ⁄ 3 innings and ending the season with a 5 @.@ 21 ERA . He was on the disabled list twice : from May 17 to June 6 for right ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>After a short stint in the minors in 2000, Nathan spent most of the season in the majors, finishing<|end-PI|> <|retrieval|> <|start-KFI|>5 – 2 and even hitting two home runs<|end-KFI|>. <|start-PI|>But he struggled with his control, walking<|end-PI|> <|retrieval|> <|start-KFI|>63 in ... |
Nathan spent all of 2003 with the Giants in the bullpen after marrying Lisa Lemoncelli , his girlfriend of five years , in November 2002 . This was a breakout year for Nathan , starting the season with 23 scoreless innings en route to a 12 – 4 record in his first full year as a reliever . His 78 appearances put him hi... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan spent all of 2003 with the Giants in the bullpen after marrying Lisa Lemoncelli , his girlfriend of five years , in<|end-PI|> <|retrieval|> <|start-KFI|>November 2002<|end-KFI|> . <|start-PI|>This was a breakout year for Nathan , starting the season with<|end-PI|> <|retrieval|... |
Nathan was traded to the Minnesota Twins on November 16 , 2003 , in one of the more lopsided trades in San Francisco Giants history . The Giants sent Nathan to the Twins along with pitchers Boof Bonser and Francisco Liriano for catcher A. J. Pierzynski and cash . The Twins decided to make Nathan their closer starting ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan was traded to the Minnesota Twins on<|end-PI|> <|retrieval|> <|start-KFI|>November 16, 2003, in one of the more lopsided trades in San Francisco Giants history<|end-KFI|>. The Giants sent Nathan to the Twins along with pitchers Boof Bonser and Francisco Liriano for catcher A. ... |
During spring training in 2005 , Nathan signed a two @-@ year deal that includes a club option for 2008 . He picked up from where he left off in 2004 , allowing no earned runs in 15 appearances from April 5 to May 10 . He also had streaks of 13 and 12 consecutive save opportunities converted between April and July . A... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>During spring training in 2005, Nathan signed a two-year deal that includes<|end-PI|> <|retrieval|> <|start-KFI|>a club option for 2008<|end-KFI|>. He picked up from where he left off in 2004, allowing no earned runs in 15 appearances from April 5 to May 10. He also had streaks of 13... |
Before the 2006 season began , Nathan participated in the 2006 World Baseball Classic as one of the 30 players selected for the Team USA roster . He played the first game , a 2 – 0 win against Mexico , striking out the side while allowing one hit . He also pitched the 4 – 3 victory against Japan , again throwing a shu... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Before the 2006 season began, Nathan participated in the 2006 World Baseball Classic as one of<|end-PI|> <|retrieval|> <|start-KFI|>the 30 players selected for the Team USA roster<|end-KFI|>. <|start-PI|>He played the first game, a 2 – 0 win against Mexico,<|end-PI|> <|retrieval|> <|... |
As the regular 2006 season began for the Twins , Nathan started off strong , allowing no runs from the start of the season to April 25 . He also converted 10 straight save opportunities from April 11 to June 17 . On June 24 , Nathan recorded his one hundredth career save against the Chicago Cubs , and 99th save with M... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>As the regular 2006 season began for the Twins, Nathan started off strong, allowing no runs from the start of the season to<|end-PI|> <|retrieval|> <|start-KFI|>April 25<|end-KFI|>. <|start-PI|>He also converted 10 straight save opportunities from April 11 to<|end-PI|> <|retrieval|> ... |
Nathan continued as the Twins ' closer for the 2007 season . He had a stretch between July and August where he gave up just two earned runs and converted all 12 save chances . Once again despite Nathan 's numbers , he was not picked for the All @-@ Star team . Nathan finished the year by converting 37 of 41 save oppor... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan continued as the Twins ' closer for the<|end-PI|> <|retrieval|> <|start-KFI|>2007 season<|end-KFI|>. <|start-PI|>He had a stretch between July and August where he gave up<|end-PI|> <|retrieval|> <|start-KFI|>just two earned runs and converted all 12 save chances<|end-KFI|>. On... |
On September 25 , 2007 , Nathan was named as one of 10 finalists for the " DHL Delivery Man of the Year Award " , the third year in a row that he has been a finalist . On October 29 , the Twins exercised Nathan 's club option for 2008 .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> On September 25 , 2007 , Nathan was named as one of 10 finalists for the <|end-PI|> <|retrieval|> <|start-KFI|> \" DHL Delivery Man of the Year Award \" <|end-KFI|> , the third year in a row that he has been a finalist . <|start-PI|> On October 29 , the Twins exercised Nathan 's <|e... |
Though Nathan was slated to make $ 6 million in 2008 , on March 24 , 2008 , the Minnesota Twins re @-@ signed Nathan to a four @-@ year , $ 47 million contract through 2011 . The deal also includes a $ 12 @.@ 5 million club option for 2012 with a $ 2 million buyout .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Though Nathan was slated to make $ 6 million in 2008 , on March 24 , 2008 , the Minnesota Twins re @-@ signed Nathan to<|end-PI|> <|retrieval|> <|start-KFI|>a four @-@ year , $ 47 million contract through 2011<|end-KFI|> . <|start-PI|>The deal also includes<|end-PI|> <|retrieval|> <|... |
Nathan started the season with 13 consecutive saves but blew his first save of the season on May 27 by giving up a three @-@ run inside @-@ the @-@ park home run on a misplayed fly ball by teammate Delmon Young ; however , Nathan got two outs to end the 9th inning and the Twins went on to win the game . By converting ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan started the season with<|end-PI|> <|retrieval|> <|start-KFI|>13 consecutive saves but blew his first save of the season on May 27<|end-KFI|> by giving up a three @-@ run inside @-@ the @-@ park home run on a misplayed fly ball by teammate Delmon Young ; however , Nathan got tw... |
Nathan had a strong season , as he was selected as an All @-@ Star for the 2009 MLB All Star Game , and he finished the year with 2 @.@ 10 ERA with 47 saves in 52 opportunities , which was a franchise record . He shared honors for the AL Rolaids Relief Man award with Mariano Rivera . However , Nathan did not fare as w... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan had a strong season , as he was selected as an All @-@ Star for<|end-PI|> <|retrieval|> <|start-KFI|>the 2009 MLB All Star Game<|end-KFI|> , and <|start-PI|>he finished the year with<|end-PI|> <|retrieval|> <|start-KFI|>2 @.@ 10 ERA with 47 saves in 52 opportunities , which wa... |
On March 9 , 2010 , it was reported that Nathan had a tear in his ulnar collateral ligament . On March 21 , after attempting to pitch without having surgery , Nathan decided to undergo Tommy John surgery , missing the entire 2010 season .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>On March 9 , 2010 , it was reported that Nathan had<|end-PI|> <|retrieval|> <|start-KFI|>a tear in his ulnar collateral ligament<|end-KFI|> . <|start-PI|>On March 21 , after attempting to pitch without having surgery , Nathan decided to undergo<|end-PI|> <|retrieval|> <|start-KFI|>To... |
Nathan earned his first save at Target Field on April 8 , 2011 . He emptied the container of dirt he took from the Metrodome on the mound at Target Field before pitching . On April 18 , Nathan was replaced at closer by Matt Capps after going 3 for 5 in save opportunities . On May 28 , 2011 , Nathan was placed on the 1... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan earned his first save at Target Field on<|end-PI|> <|retrieval|> <|start-KFI|>April 8 , 2011<|end-KFI|>. <|start-PI|>He emptied the container of dirt he took from the Metrodome on<|end-PI|> <|retrieval|> <|start-KFI|>the mound at Target Field before pitching<|end-KFI|>. <|star... |
On August 10 , 2011 , against the Boston Red Sox , Nathan became the Twins all @-@ time saves leader with 255 , passing Rick Aguilera .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>On August 10 , 2011 , against the Boston Red Sox , Nathan became the Twins all @-@ time saves leader with<|end-PI|> <|retrieval|> <|start-KFI|>255 , passing Rick Aguilera<|end-KFI|>.",
"error": 0,
"results": [
{
"Explanation": "The PI sets up the context for Nathan's ac... |
After the Twins declined his $ 12 @.@ 5 million club option and exercised a $ 2 million buyout , Nathan became a free agent at the end of the 2011 season .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>After the Twins declined his $ 12 @.@ 5 million club option and exercised a $ 2 million buyout , Nathan<|end-PI|> <|retrieval|> <|start-KFI|>became a free agent at the end of the 2011 season<|end-KFI|> .",
"error": 0,
"results": [
{
"Explanation": "The PI sets up the co... |
On November 21 , 2011 , Nathan agreed to terms on a two @-@ year deal with the Texas Rangers worth $ 14 @.@ 5 million guaranteed with an option for a third year at $ 9 million or a $ 500 @,@ 000 buyout .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>On November 21 , 2011 , Nathan agreed to terms on a two @-@ year deal with the Texas Rangers worth<|end-PI|> <|retrieval|> <|start-KFI|>$ 14 @.@ 5 million guaranteed with an option for a third year at $ 9 million or a $ 500 @,@ 000 buyout<|end-KFI|> .",
"error": 0,
"results": [
... |
Nathan had a strong first season with the Rangers , as he was selected to the represent the Rangers at the 2012 MLB All Star Game , the fifth all star selection of his career . He finished his 2012 campaign with 37 saves and an ERA of 2 @.@ 80 . During a game against the Tampa Bay Rays on April 8 , 2013 , Nathan earne... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Nathan had a strong first season with the Rangers, as he was selected to<|end-PI|> <|retrieval|> <|start-KFI|>represent the Rangers at the 2012 MLB All Star Game, the fifth all star selection of his career<|end-KFI|>. <|start-PI|>He finished his 2012 campaign with<|end-PI|> <|retriev... |
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