Triple

T10631087
Position Surface form Disambiguated ID Type / Status
Subject Jacques Rivette E250452 entity
Predicate workedWith P398 FINISHED
Object Emmanuelle Béart E542713 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: Emmanuelle Béart | Statement: [Jacques Rivette, workedWith, Emmanuelle Béart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Béart
Context triple: [Jacques Rivette, workedWith, Emmanuelle Béart]
  • A. Emmanuelle Béart chosen
    Emmanuelle Béart is a French actress acclaimed for her performances in films such as "Manon des Sources" and "Mission: Impossible."
  • B. Emmanuelle Seigner
    Emmanuelle Seigner is a French actress, former model, and singer known for her frequent collaborations with director Roman Polanski in films such as "Frantic," "Bitter Moon," and "The Ninth Gate."
  • C. Emmanuelle Chriqui
    Emmanuelle Chriqui is a Canadian actress best known for her roles in the HBO series "Entourage" and various film and television projects.
  • D. Nathalie Delon
    Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
  • E. Jacqueline Moreau
    Jacqueline Moreau is a French costume designer best known for her work on the classic musical film "The Umbrellas of Cherbourg."
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df94dc1c8190b6347eaf35a5acc2 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69de552d2d548190b6ade494ef2cbe7e completed April 14, 2026, 2:54 p.m.
Created at: April 8, 2026, 9:01 p.m.