Triple

T9997090
Position Surface form Disambiguated ID Type / Status
Subject 74th Golden Globe Awards E197227 entity
Predicate bestActressMotionPictureDramaWinner P8116 FINISHED
Object Isabelle Huppert E226123 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: Isabelle Huppert | Statement: [74th Golden Globe Awards, bestActressMotionPictureDramaWinner, Isabelle Huppert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabelle Huppert
Context triple: [74th Golden Globe Awards, bestActressMotionPictureDramaWinner, Isabelle Huppert]
  • A. Isabelle Huppert chosen
    Isabelle Huppert is a renowned French actress acclaimed for her intense, complex performances in both art-house and mainstream cinema, making her one of Europe’s most celebrated and awarded film performers.
  • B. Emmanuelle Riva
    Emmanuelle Riva was a French actress acclaimed for her intense, nuanced performances in art-house cinema and for earning an Academy Award nomination late in her career for the film "Amour."
  • C. Nathalie Baye
    Nathalie Baye is an acclaimed French actress known for her versatile performances in both art-house and mainstream cinema since the 1970s.
  • D. Isabelle Adjani
    Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
  • E. Sandrine Bonnaire
    Sandrine Bonnaire is an acclaimed French actress and filmmaker known for her powerful performances in films such as "Vagabond" and "Under the Sun of Satan."
  • 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: bestActressMotionPictureDramaWinner
Context triple: [74th Golden Globe Awards, bestActressMotionPictureDramaWinner, Isabelle Huppert]
  • A. bestActressWinner chosen
    Indicates that the subject has won the Best Actress award in a given competition or context.
  • B. academyAwardForBestActress
    Indicates that an entity received the Academy Award for Best Actress in a leading role.
  • C. bestScoringOfADramaticOrComedyPictureWinner
    Indicates that the subject is the winner for best scoring of a dramatic or comedy motion picture.
  • D. bestPictureWinner
    Indicates that the subject is the film that won the Best Picture award in a given context or year.
  • E. bestActorWinner
    Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a36aadc81909978b71bdb3a6654 completed April 5, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69cd1da07db88190945bcdab3ca82e71 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:51 p.m.