Triple

T22274222
Position Surface form Disambiguated ID Type / Status
Subject Nelly et Monsieur Arnaud E550558 entity
Predicate leadActor P1507 FINISHED
Object Emmanuelle Béart 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: Emmanuelle Béart | Statement: [Nelly et Monsieur Arnaud, leadActor, Emmanuelle Béart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Béart
Context triple: [Nelly et Monsieur Arnaud, leadActor, 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 Mimieux
    Emmanuelle Mimieux is an alias used by the character Shosanna Dreyfus in Quentin Tarantino’s film "Inglourious Basterds."
  • C. 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."
  • D. Edwige Fenech
    Edwige Fenech is an Italian actress and film producer best known as a major star of 1970s giallo thrillers and sex-comedy films.
  • E. Emmanuelle Chriqui
    Emmanuelle Chriqui is a Canadian actress best known for her roles in the HBO series "Entourage" and various film and television projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.