Triple

T10790948
Position Surface form Disambiguated ID Type / Status
Subject Jacques Demy E254574 entity
Predicate collaboratedWith P435 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: [Jacques Demy, collaboratedWith, Catherine Deneuve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Deneuve
Context triple: [Jacques Demy, collaboratedWith, 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f5b8248190a633dc44ae620a3a completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0c85d288190b13b1bc66921332c completed April 14, 2026, 9:25 p.m.
Created at: April 8, 2026, 9:17 p.m.