Triple

T23389438
Position Surface form Disambiguated ID Type / Status
Subject The Interpreter E593971 entity
Predicate starring P1507 FINISHED
Object Yvan Attal 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: Yvan Attal | Statement: [The Interpreter, starring, Yvan Attal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvan Attal
Context triple: [The Interpreter, starring, Yvan Attal]
  • A. Yvan Attal chosen
    Yvan Attal is a French-Israeli actor and filmmaker known for his work in French cinema and his long-term relationship with actress and singer Charlotte Gainsbourg.
  • B. Alain Attal
    Alain Attal is a French film producer known for his work on numerous acclaimed contemporary French movies.
  • C. Olivier Adam
    Olivier Adam is a contemporary French novelist and screenwriter known for his introspective, socially engaged works often exploring themes of marginalization and personal crisis.
  • D. Xavier Beauvois
    Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
  • E. Henri Attal
    Henri Attal was a French character actor known for his numerous supporting roles in mid-20th-century French cinema.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49a7c14819082aab826715976c5 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.