Triple

T16876208
Position Surface form Disambiguated ID Type / Status
Subject L'Ivresse du pouvoir E421304 entity
Predicate starredActor P5563 FINISHED
Object François Berléand 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: François Berléand | Statement: [L'Ivresse du pouvoir, starredActor, François Berléand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François Berléand
Context triple: [L'Ivresse du pouvoir, starredActor, François Berléand]
  • A. François Berléand chosen
    François Berléand is a French character actor known for his prolific film and television career, often portraying authoritative or world-weary figures in dramas and thrillers.
  • B. François Lecointre
    François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
  • C. Éric Neveux
    Éric Neveux is a French film and television composer known for his atmospheric and emotionally nuanced scores.
  • D. Didier Auriol
    Didier Auriol is a French rally driver and 1994 World Rally Champion, renowned for his success in the World Rally Championship during the late 1980s and 1990s.
  • E. Christophe Lourdelet
    Christophe Lourdelet is a French animator and film director known for his work on major animated features, including co-directing the musical comedy film "Sing 2."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
Created at: April 10, 2026, 5:29 a.m.