Triple

T21976394
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle Béart E542713 entity
Predicate actedIn P1668 FINISHED
Object A French Woman 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: A French Woman | Statement: [Emmanuelle Béart, actedIn, A French Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A French Woman
Context triple: [Emmanuelle Béart, actedIn, A French Woman]
  • A. A French Woman chosen
    *A French Woman* is a French drama film featuring Emmanuelle Béart in a prominent role, exploring themes of love, identity, and emotional turmoil.
  • B. The Parisian Woman
    The Parisian Woman is a contemporary Broadway play by Beau Willimon that explores politics, power, and personal ambition in modern-day Washington, D.C.
  • C. La Parisienne
    La Parisienne is a vibrant Fauvist portrait painting by Dutch-French artist Kees van Dongen, celebrated for its bold colors and depiction of fashionable Parisian modernity.
  • D. The French Girl
    "The French Girl" is a folk song best known through recordings by Canadian duo Ian & Sylvia and later covered by artists such as Bob Dylan and the Byrds.
  • E. Trois femmes
    Trois femmes is a French film whose story centers on the intertwined lives and emotional struggles of three women.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124886418819091daed0988432350 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.