Triple

T14456158
Position Surface form Disambiguated ID Type / Status
Subject Thérèse Desqueyroux (2012 film) E358463 entity
Predicate musicBy P1952 FINISHED
Object Bruno Coulais E634207 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: Bruno Coulais | Statement: [Thérèse Desqueyroux (2012 film), musicBy, Bruno Coulais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Coulais
Context triple: [Thérèse Desqueyroux (2012 film), musicBy, Bruno Coulais]
  • A. Bruno Coulais chosen
    Bruno Coulais is a French composer best known for his atmospheric and innovative film scores, particularly in European cinema and animation.
  • B. Philippe Rousselot
    Philippe Rousselot is an acclaimed French cinematographer known for his visually distinctive work on numerous major films across several decades.
  • C. Paul Tortelier
    Paul Tortelier was a renowned French cellist and pedagogue celebrated for his expressive performances and influential teaching career.
  • D. Jean-Marc Mormeck
    Jean-Marc Mormeck is a French former professional boxer and multiple-time cruiserweight world champion known for his powerful, pressure-fighting style.
  • E. Nicolas Dufourcq
    Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649177108190be32af72dcae04ee completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.