Triple

T17518735
Position Surface form Disambiguated ID Type / Status
Subject Nuages E426630 entity
Predicate notableRecordingArtist P21110 FINISHED
Object Bireli Lagrène 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: Bireli Lagrène | Statement: [Nuages, notableRecordingArtist, Bireli Lagrène]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bireli Lagrène
Context triple: [Nuages, notableRecordingArtist, Bireli Lagrène]
  • A. Biréli Lagrène chosen
    Biréli Lagrène is a French jazz guitarist renowned for his virtuosic gypsy jazz playing and for carrying forward the legacy of Django Reinhardt.
  • B. Sébastien Auzière
    Sébastien Auzière is a French financial analyst known publicly as the eldest son of Brigitte Macron, the First Lady of France.
  • C. Jean-Marie Balestre
    Jean-Marie Balestre was a French motorsport administrator best known for his controversial leadership of international auto racing governance during the late 20th century.
  • D. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • E. Pierre Giraud
    Pierre Giraud is a French web developer and educator known for his online programming and web development tutorials.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d0daa48190be69aff32b0324bc completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.