Triple

T21563534
Position Surface form Disambiguated ID Type / Status
Subject Donostia Award E532100 entity
Predicate notableRecipient P108 FINISHED
Object Catherine Deneuve 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: Catherine Deneuve | Statement: [Donostia Award, notableRecipient, Catherine Deneuve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Deneuve
Context triple: [Donostia Award, notableRecipient, 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 (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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e6c19c81909eaae408d94f0625 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.