Triple

T34618850
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Supporting Actress for Farewell, My Lovely E888941 entity
Predicate competingCategoryWinningFilm P188817 FINISHED
Object Shampoo NE NERFINISHED

How this triple was built (2 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: Shampoo | Statement: [Academy Award for Best Supporting Actress for Farewell, My Lovely, competingCategoryWinningFilm, Shampoo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: competingCategoryWinningFilm
Context triple: [Academy Award for Best Supporting Actress for Farewell, My Lovely, competingCategoryWinningFilm, Shampoo]
  • A. associatedAwardWinningFilm
    Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
  • B. notableWinningFilm
    Indicates that a film has achieved notable recognition by winning a significant award or competition.
  • C. competingFilm chosen
    Indicates that two films are in competition with each other, such as vying for the same award, audience, or market.
  • D. bestScoringOfADramaticOrComedyPictureWinner
    Indicates that the subject is the winner for best scoring of a dramatic or comedy motion picture.
  • E. awardedForTheater
    Indicates that an award or honor is given in recognition of achievements or contributions in the field of theater.
  • F. None of above.

Provenance (3 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_69f349d584e08190b40b9f6281ad50c4 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fbc9d1dba881908c399b8e1dc13ce2 completed May 6, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69fbc8ec03ac8190a757563f96fab283 completed May 6, 2026, 11:04 p.m.
Created at: May 1, 2026, 2:03 a.m.