Triple

T10367859
Position Surface form Disambiguated ID Type / Status
Subject Heartbreaker E244300 entity
Predicate castMember P1668 FINISHED
Object Jean-Yves Lafesse E860627 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: Jean-Yves Lafesse | Statement: [Heartbreaker, castMember, Jean-Yves Lafesse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Yves Lafesse
Context triple: [Heartbreaker, castMember, Jean-Yves Lafesse]
  • A. Jean-Yves Lafesse chosen
    Jean-Yves Lafesse was a French comedian and prankster best known for his hidden-camera gags and humorous street interviews.
  • B. Jean-Pierre Lévy
    Jean-Pierre Lévy was a prominent French Resistance leader during World War II, known for organizing and directing clandestine networks against the Nazi occupation.
  • C. Jean-Luc Vaillant
    Jean-Luc Vaillant is a French software engineer and entrepreneur best known as a co-founder and former chief technology officer of LinkedIn.
  • D. Ernest Hébert
    Ernest Hébert was a 19th-century French painter associated with academic and Romantic styles, known for his portraits and genre scenes and for serving as director of the French Academy in Rome.
  • E. François Dagognet
    François Dagognet was a French philosopher and historian of science known for his work on the philosophy of biology, medicine, and technology, extending and critically developing the epistemological tradition of French historical epistemology.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, noon