Triple

T22977793
Position Surface form Disambiguated ID Type / Status
Subject Saïd Ben Saïd E571371 entity
Predicate collaboratedWith P435 FINISHED
Object Michel Hazanavicius 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: Michel Hazanavicius | Statement: [Saïd Ben Saïd, collaboratedWith, Michel Hazanavicius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Hazanavicius
Context triple: [Saïd Ben Saïd, collaboratedWith, Michel Hazanavicius]
  • A. Michel Hazanavicius chosen
    Michel Hazanavicius is a French film director, screenwriter, and producer best known internationally for directing the silent black-and-white film "The Artist."
  • B. Serge Hazanavicius
    Serge Hazanavicius is a French actor and filmmaker known for his work in cinema and television, including roles in acclaimed French dramas.
  • C. Jacques Audiard
    Jacques Audiard is an acclaimed French film director and screenwriter known for intense, character-driven dramas such as "A Prophet" and "Dheepan."
  • D. Fabrice Du Welz
    Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
  • E. Xavier Giannoli
    Xavier Giannoli is a French film director and screenwriter known for character-driven dramas such as "Marguerite" and "Superstar."
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.