Triple

T3514897
Position Surface form Disambiguated ID Type / Status
Subject Woman of the Year E74281 entity
Predicate screenplayAwardedBy P48461 FINISHED
Object Academy of Motion Picture Arts and Sciences E2430 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: Academy of Motion Picture Arts and Sciences | Statement: [Woman of the Year, screenplayAwardedBy, Academy of Motion Picture Arts and Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Academy of Motion Picture Arts and Sciences
Context triple: [Woman of the Year, screenplayAwardedBy, Academy of Motion Picture Arts and Sciences]
  • A. Academy of Motion Picture Arts and Sciences chosen
    The Academy of Motion Picture Arts and Sciences is a professional honorary organization best known for overseeing and presenting the annual Academy Awards, or Oscars, recognizing excellence in the film industry.
  • B. American Film Institute
    The American Film Institute is a U.S.-based nonprofit organization dedicated to preserving the legacy of motion pictures and honoring excellence in the art of filmmaking.
  • C. Hollywood Foreign Press Association
    The Hollywood Foreign Press Association is an organization of international journalists and photographers that is best known for organizing and awarding the annual Golden Globe Awards honoring achievements in film and television.
  • D. Academy of Television Arts & Sciences
    The Academy of Television Arts & Sciences is a professional honorary organization that oversees and honors excellence in the American television industry, most prominently through its administration of the Primetime Emmy Awards.
  • E. Académie des Arts et Techniques du Cinéma
    The Académie des Arts et Techniques du Cinéma is the French professional film organization best known for overseeing and awarding the country’s premier national film prizes, the César Awards.
  • 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: screenplayAwardedBy
Context triple: [Woman of the Year, screenplayAwardedBy, Academy of Motion Picture Arts and Sciences]
  • A. academyAwardForBestWritingScreenplay
    Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
  • B. bestAdaptedScreenplayWinner
    Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
  • C. screenplayWrittenFor
    Indicates that a screenplay was written specifically for a particular film, show, or production.
  • D. bestOriginalScreenplayWinner
    Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
  • E. screenplayBy
    Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
  • F. None of above. chosen

Provenance (5 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2efa4c8190ac1ca221f3f0eba4 completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7a5ab08190971c9dfd6550eb2d completed March 13, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69adae10689c8190b7dc6d7daa8295b6 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adaed74ecc8190b74dc70ab59a3e1c completed March 8, 2026, 5:16 p.m.
Created at: March 8, 2026, 3:19 p.m.