Triple

T8625762
Position Surface form Disambiguated ID Type / Status
Subject Le Mépris E204276 entity
Predicate starredActor P5563 FINISHED
Object Brigitte Bardot E248225 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: Brigitte Bardot | Statement: [Le Mépris, starredActor, Brigitte Bardot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigitte Bardot
Context triple: [Le Mépris, starredActor, Brigitte Bardot]
  • A. Brigitte Bardot chosen
    Brigitte Bardot is a French former film actress and sex symbol of the 1950s and 1960s who later became a prominent animal rights activist.
  • B. Emmanuelle Béart
    Emmanuelle Béart is a French actress acclaimed for her performances in films such as "Manon des Sources" and "Mission: Impossible."
  • C. Brigitte Helm
    Brigitte Helm was a German actress best known for her iconic dual role as Maria and the Maschinenmensch in Fritz Lang’s pioneering science fiction film "Metropolis."
  • D. Violette Nozière
    Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
  • E. Anna Karina
    Anna Karina was a Danish-French actress, singer, and fashion icon best known as a muse of the French New Wave and for her acclaimed performances in films such as "A Woman Is a Woman" and "Pierrot le Fou."
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472a07908190a2368975459543f9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf03c688190a989f16675f6e8a6 completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.