Triple

T22574601
Position Surface form Disambiguated ID Type / Status
Subject Guillaume Côté E544359 entity
Predicate name P16 FINISHED
Object Guillaume Côté 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: Guillaume Côté | Statement: [Guillaume Côté, name, Guillaume Côté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume Côté
Context triple: [Guillaume Côté, name, Guillaume Côté]
  • A. Guillaume Côté chosen
    Guillaume Côté is a renowned Canadian ballet dancer and choreographer, celebrated as one of the leading principal artists of his generation.
  • B. Louis-Philippe Côté
    Louis-Philippe Côté is a film editor best known for his work on the movie "I Kill Giants."
  • C. Guillaume Desjardins
    Guillaume Desjardins is a machine learning researcher known for his work in deep learning and reinforcement learning, including collaborations with prominent figures such as Yuval Tassa.
  • D. Alexandre Cloutier
    Alexandre Cloutier was a notable figure associated with Cloutierville, Louisiana, whose prominence in the area led to the community bearing his name.
  • E. Jérôme Boisvert
    Jérôme Boisvert is a composer and musician known for creating the score for the film "Two Lovers and a Bear."
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fec296481908a6101b02e5bedaa completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.