Triple

T7354855
Position Surface form Disambiguated ID Type / Status
Subject The Slugger’s Wife E169596 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: [The Slugger’s Wife, musicBy, Michel Colombier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Colombier
Context triple: [The Slugger’s Wife, 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. Pierre Legoupil
    Pierre Legoupil was a French naval officer or explorer after whom Cape Legoupil in Antarctica was named, reflecting his role in early polar exploration.
  • C. Michel Payot
    Michel Payot was a French mountaineer known for participating in the pioneering ascent of major Alpine peaks in the Mont Blanc massif.
  • D. Michel Pinseau
    Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
  • E. Jean-Pierre Brisset
    Jean-Pierre Brisset was a French autodidact, writer, and eccentric linguist whose bizarre theories about language and the origins of humanity later made him a celebrated precursor of Surrealism.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d60d24c6dc819088332a512940a9c8 completed April 8, 2026, 8:09 a.m.
Created at: March 27, 2026, 3:05 p.m.