Triple

T22614398
Position Surface form Disambiguated ID Type / Status
Subject Heather Ogden E566802 entity
Predicate spouse P13 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: [Heather Ogden, spouse, Guillaume Côté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume Côté
Context triple: [Heather Ogden, spouse, 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ecc7188190bf41fe2177d48e6c completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.