Triple

T18926339
Position Surface form Disambiguated ID Type / Status
Subject Pierre Dansereau E462981 entity
Predicate name P16 FINISHED
Object Pierre Dansereau E462981 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: Pierre Dansereau | Statement: [Pierre Dansereau, name, Pierre Dansereau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Dansereau
Context triple: [Pierre Dansereau, name, Pierre Dansereau]
  • A. Pierre Dansereau chosen
    Pierre Dansereau was a pioneering Canadian ecologist renowned for his foundational contributions to plant ecology and environmental science.
  • B. Paul Gérin-Lajoie
    Paul Gérin-Lajoie was a prominent Quebec lawyer, politician, and education reformer who played a leading role in modernizing the province’s education system during the Quiet Revolution.
  • C. Denis Vachon
    Denis Vachon is a Canadian artistic gymnast known for competing internationally and later contributing to the sport as a coach.
  • D. Jacques Laperrière
    Jacques Laperrière is a former Canadian ice hockey defenceman best known for his Hall of Fame career with the Montreal Canadiens in the 1960s and 1970s.
  • E. Rodolphe Vachon
    Rodolphe Vachon is a person notable enough to be recognized as a distinguished bearer of the surname Vachon.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fbcfd308190a293ed2062e3f770 completed May 14, 2026, 10:11 a.m.
Created at: April 10, 2026, 11:59 a.m.