Triple

T22144763
Position Surface form Disambiguated ID Type / Status
Subject Guillaume Depardieu E547256 entity
Predicate familyName P18 FINISHED
Object Depardieu 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: Depardieu | Statement: [Guillaume Depardieu, familyName, Depardieu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Depardieu
Context triple: [Guillaume Depardieu, familyName, Depardieu]
  • A. Gérard Depardieu
    Gérard Depardieu is a renowned French actor celebrated for his prolific film career and status as one of France’s most prominent cinematic figures.
  • B. Guillaume Depardieu chosen
    Guillaume Depardieu was a French actor known for his intense performances and for being the son of renowned actor Gérard Depardieu.
  • C. Lou Depardieu
    Lou Depardieu is a member of the French Depardieu family, known for its multi-generational involvement in the arts and public life.
  • D. Michel Blanc
    Michel Blanc is a French actor, screenwriter, and director known for his work in both comedy and drama, including his role in the film "The Hundred-Foot Journey."
  • E. Louis de Funès
    Louis de Funès was a celebrated French comic actor renowned for his hyperactive energy, expressive face, and starring roles in numerous popular comedies from the 1950s to the 1970s.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.