Triple

T9131750
Position Surface form Disambiguated ID Type / Status
Subject Mélanie Thierry E219101 entity
Predicate workedWith P398 FINISHED
Object Bertrand Tavernier E678038 NE FINISHED

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: Bertrand Tavernier | Statement: [Mélanie Thierry, workedWith, Bertrand Tavernier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bertrand Tavernier
Context triple: [Mélanie Thierry, workedWith, Bertrand Tavernier]
  • A. Bertrand Tavernier chosen
    Bertrand Tavernier was a renowned French filmmaker and screenwriter known for his humanistic, socially engaged dramas and significant contributions to post–New Wave French cinema.
  • B. Arnaud Desplechin
    Arnaud Desplechin is a French film director and screenwriter known for his complex, character-driven dramas such as "Kings and Queen" and "A Christmas Tale."
  • C. Jean-Jacques Beineix
    Jean-Jacques Beineix was a French film director and key figure of the 1980s "cinéma du look" movement, best known for visually stylish works such as "Diva" and "Betty Blue."
  • D. Benoît Jacquot
    Benoît Jacquot is a French film director known for his psychologically nuanced, often literary adaptations and intimate character studies.
  • E. Jean Eustache
    Jean Eustache was a French filmmaker known for his raw, introspective dramas and his influential post–New Wave masterpiece "The Mother and the Whore."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d380b6a39c8190ade06ba0249ffa79 completed April 6, 2026, 9:45 a.m.
Created at: March 30, 2026, 7:18 p.m.