Triple

T16761015
Position Surface form Disambiguated ID Type / Status
Subject The Young Girls of Rochefort E407342 entity
Predicate stars P1956 FINISHED
Object Françoise Dorléac E912694 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: Françoise Dorléac | Statement: [The Young Girls of Rochefort, stars, Françoise Dorléac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Françoise Dorléac
Context triple: [The Young Girls of Rochefort, stars, Françoise Dorléac]
  • A. Françoise Dorléac chosen
    Françoise Dorléac was a French actress of the 1960s, known for her charismatic screen presence in films such as “The Soft Skin” and “That Man from Rio,” and as the elder sister of Catherine Deneuve.
  • B. Marie-Christine Barrault
    Marie-Christine Barrault is a French actress known for her work in films such as "Cousin, Cousine," for which she received an Academy Award nomination.
  • C. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • D. Yolande Moreau
    Yolande Moreau is a Belgian actress, comedian, and filmmaker known for her acclaimed performances in French-language cinema and her distinctive blend of humor and poignancy.
  • E. Angélique Arnaud
    Angélique Arnaud was a 19th-century French feminist writer and activist known for her advocacy of women's rights and social reform.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abec638c81909d71ff452a4123c9 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2993f4c8190aecf29a4bcbf7b6a completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:21 a.m.