Triple

T16396518
Position Surface form Disambiguated ID Type / Status
Subject 9th Academy Awards E398196 entity
Predicate bestPictureWinnerStudio P101300 FINISHED
Object Metro-Goldwyn-Mayer E27316 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Metro-Goldwyn-Mayer | Statement: [9th Academy Awards, bestPictureWinnerStudio, Metro-Goldwyn-Mayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro-Goldwyn-Mayer
Context triple: [9th Academy Awards, bestPictureWinnerStudio, Metro-Goldwyn-Mayer]
  • A. Metro-Goldwyn-Mayer chosen
    Metro-Goldwyn-Mayer is a historic American film studio renowned for its classic Hollywood productions and iconic roaring lion logo.
  • B. MGM-British Studios
    MGM-British Studios was a major British film production facility associated with Metro-Goldwyn-Mayer that played a significant role in mid-20th-century cinema.
  • C. Motion Picture Corporation of America
    Motion Picture Corporation of America is an independent film production company known for producing mid-budget Hollywood comedies and genre films.
  • D. Selznick International Pictures
    Selznick International Pictures was an American film production company founded by producer David O. Selznick, best known for creating lavish, high-profile Hollywood epics in the 1930s and 1940s.
  • E. Selznick Pictures Corporation
    Selznick Pictures Corporation was an early 20th-century American film production company founded and run by pioneering movie producer Lewis J. Selznick.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bestPictureWinnerStudio
Context triple: [9th Academy Awards, bestPictureWinnerStudio, Metro-Goldwyn-Mayer]
  • A. bestPictureProductionCompany chosen
    Indicates the production company that produced the film which won the Best Picture award.
  • B. bestPictureProducer
    Indicates that the subject is the producer associated with a film that won the Best Picture award.
  • C. bestPictureWinner
    Indicates that the subject is the film that won the Best Picture award in a given context or year.
  • D. bestPictureNominee
    Indicates that a film was officially nominated for the Best Picture award in a given awards event.
  • E. bestPictureWinnerCountry
    Indicates the country associated with the film that won the Best Picture award in a given year or context.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cb3c708190b64341cb1410ed81 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69e226fe1dd08190865c181721f8c348 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:09 a.m.