Triple

T13313421
Position Surface form Disambiguated ID Type / Status
Subject French cinema E317130 entity
Predicate notableActor P7010 FINISHED
Object Anna Karina E204288 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: Anna Karina | Statement: [French cinema, notableActor, Anna Karina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Karina
Context triple: [French cinema, notableActor, Anna Karina]
  • A. Anna Karina chosen
    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."
  • B. Anita Ekberg
    Anita Ekberg was a Swedish actress and former model best known for her iconic role in Federico Fellini’s film "La Dolce Vita."
  • C. Romy Schneider
    Romy Schneider was an acclaimed Austrian-born actress best known for her roles in European cinema, particularly in the "Sissi" trilogy and numerous French films.
  • D. 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."
  • E. Catherine Frot
    Catherine Frot is a French actress acclaimed for her work in film, television, and theater, known for both her comedic talent and dramatic roles.
  • 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_69f7546fbd1881909d2dda1edb63df2f completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:29 p.m.