Triple

T12919914
Position Surface form Disambiguated ID Type / Status
Subject Stéphane Matteau E309088 entity
Predicate relative P37 FINISHED
Object Stefan Matteau E309088 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: Stefan Matteau | Statement: [Stéphane Matteau, relative, Stefan Matteau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan Matteau
Context triple: [Stéphane Matteau, relative, Stefan Matteau]
  • A. Stephane Matteau chosen
    Stéphane Matteau is a former NHL forward best known for scoring the dramatic double-overtime goal for the New York Rangers against the New Jersey Devils in the 1994 Eastern Conference Finals.
  • B. Benoit Plante
    Benoit Plante is a notable individual recognized for achievements significant enough to be associated with the surname Plante.
  • C. Theo Fleury
    Theo Fleury is a former Canadian NHL forward best known for his prolific scoring, gritty play, and Stanley Cup win with the Calgary Flames.
  • D. André Vingt-Trois
    André Vingt-Trois is a French Roman Catholic cardinal who served as Archbishop of Paris and was a prominent figure in the Church in France.
  • E. Gilles Chiasson
    Gilles Chiasson is an American actor and singer best known for originating roles in the Broadway musical Rent and for his work in theatre and television.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e6d9fc8190b8a5244b26b5f78a completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d39d4c81908fab65129f292862 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:41 p.m.