Triple

T3564624
Position Surface form Disambiguated ID Type / Status
Subject Soul Plane E75414 entity
Predicate musicBy P1952 FINISHED
Object Michel Colombier E488337 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: Michel Colombier | Statement: [Soul Plane, musicBy, Michel Colombier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Colombier
Context triple: [Soul Plane, musicBy, Michel Colombier]
  • A. Michel Colombier chosen
    Michel Colombier was a French composer, arranger, and conductor known for his work in film scores, pop, and jazz, collaborating with major artists and contributing to numerous Hollywood soundtracks.
  • B. Bernard Guillembet
    Bernard Guillembet was a mountaineer known for making the first recorded ascent of Vignemale in the Pyrenees.
  • C. Jean-Claude Marmier
    Jean-Claude Marmier is a French trail-running organizer best known as one of the founders of the prestigious Ultra-Trail du Mont-Blanc mountain ultramarathon.
  • D. Pierre Bossan
    Pierre Bossan was a 19th-century French architect best known for designing the monumental Basilica of Notre-Dame de Fourvière in Lyon.
  • E. Gérard de Battista
    Gérard de Battista is a French cinematographer known for his work on numerous European films, including the acclaimed drama "Monsieur Ibrahim."
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a76c008190a2056b6d990776fe completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe1423aa481909fd062c54779a3a2 completed March 22, 2026, 12:32 p.m.
Created at: March 8, 2026, 3:21 p.m.