Triple

T13920706
Position Surface form Disambiguated ID Type / Status
Subject Françoise Rosay E334733 entity
Predicate name P16 FINISHED
Object Françoise Rosay E334733 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 Rosay | Statement: [Françoise Rosay, name, Françoise Rosay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Françoise Rosay
Context triple: [Françoise Rosay, name, Françoise Rosay]
  • A. Françoise Rosay chosen
    Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
  • B. Françoise Brion
    Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
  • C. Françoise Dorléac
    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.
  • D. Denise Darcel
    Denise Darcel was a French-born actress and singer best known for her roles in 1950s Hollywood films and her sultry, glamorous screen presence.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:16 p.m.