Triple

T13143224
Position Surface form Disambiguated ID Type / Status
Subject Pierre Turgeon E312266 entity
Predicate fullName P16 FINISHED
Object Pierre Julien Turgeon E312266 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 Julien Turgeon | Statement: [Pierre Turgeon, fullName, Pierre Julien Turgeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Julien Turgeon
Context triple: [Pierre Turgeon, fullName, Pierre Julien Turgeon]
  • A. Pierre Turgeon chosen
    Pierre Turgeon is a high-scoring former NHL center known for his offensive skill, sportsmanship, and long career with multiple teams including the Buffalo Sabres, New York Islanders, and Montreal Canadiens.
  • B. Charles Daoust
    Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
  • C. Marc Tardif
    Marc Tardif is a former Canadian professional ice hockey forward best known as one of the most prolific scorers in World Hockey Association history.
  • D. Michel Bergeron
    Michel Bergeron is a Canadian former NHL head coach best known for leading the Quebec Nordiques during the 1980s.
  • E. Gordie Lachance
    Gordie Lachance is the introspective, sensitive narrator and protagonist of Stephen King's novella "The Body" and its film adaptation "Stand by Me," reflecting on a formative childhood journey with his friends.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981d24da48190b99e713878e8d003 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae4a87881908be57e15f001c904 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.