Triple

T13313409
Position Surface form Disambiguated ID Type / Status
Subject French cinema E317130 entity
Predicate notableActor P7010 FINISHED
Object Catherine Deneuve E256268 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: Catherine Deneuve | Statement: [French cinema, notableActor, Catherine Deneuve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Deneuve
Context triple: [French cinema, notableActor, Catherine Deneuve]
  • A. Catherine Deneuve chosen
    Catherine Deneuve is a renowned French actress celebrated for her cool, enigmatic screen presence and iconic roles in European cinema since the 1960s.
  • B. Isabelle Adjani
    Isabelle Adjani is a celebrated French actress renowned for her intense, emotionally charged performances and multiple César Awards, making her one of France’s most acclaimed film stars.
  • C. Jeanne Moreau
    Jeanne Moreau was a celebrated French actress and director, renowned for her complex, magnetic performances in films of the French New Wave and beyond.
  • D. Nathalie Delon
    Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
  • E. Carole Bouquet
    Carole Bouquet is a French actress known for her roles in European art cinema and as a Bond girl in the James Bond film "For Your Eyes Only."
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f6d34c8190ba19dc2df7d42c22 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f73061e90c81909badb0cd12b304a2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:29 p.m.