Triple

T23189486
Position Surface form Disambiguated ID Type / Status
Subject Sacha Distel E579690 entity
Predicate notableWork P4 FINISHED
Object La Belle Vie — 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: La Belle Vie | Statement: [Sacha Distel, notableWork, La Belle Vie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Belle Vie
Context triple: [Sacha Distel, notableWork, La Belle Vie]
  • A. La Belle Vie chosen
    La Belle Vie is a French-language film whose title translates to "The Good Life" in English.
  • B. La Vie Est Belle
    La Vie Est Belle is a popular women's fragrance by Lancôme known for its sweet, floral-gourmand scent and elegant, feminine character.
  • C. La Vie
    La Vie is a 1903 Blue Period painting by Pablo Picasso that portrays a somber, symbolic scene reflecting themes of poverty, despair, and existential struggle.
  • D. La Vie
    La Vie is a French publication associated with the Catholic and Christian press, known for its coverage of social, cultural, and religious issues.
  • E. Vivre sa vie
    Vivre sa vie is a 1962 French New Wave film by Jean-Luc Godard that follows a young woman’s descent into prostitution through a series of stylized, documentary-like vignettes.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd65e008190a724619a107d7bd1 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.