Triple

T6905892
Position Surface form Disambiguated ID Type / Status
Subject Hobey Baker Award winners E159811 entity
Predicate notableWinner P2766 FINISHED
Object Chris Drury E626812 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: Chris Drury | Statement: [Hobey Baker Award winners, notableWinner, Chris Drury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Drury
Context triple: [Hobey Baker Award winners, notableWinner, Chris Drury]
  • A. Chris Drury chosen
    Chris Drury is a former American NHL center and Stanley Cup champion who later became an executive and general manager for the New York Rangers.
  • B. Mark Dargus
    Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
  • C. Stephen Clarkson
    Stephen Clarkson was a prominent Canadian political scientist and author known for his influential analyses of Canadian politics and North American integration.
  • D. Clark Gillies
    Clark Gillies was a Hall of Fame Canadian left winger best known as a physical, high-scoring cornerstone of the New York Islanders’ early-1980s Stanley Cup dynasty.
  • E. Andrew Gallant
    Andrew Gallant is a software engineer best known for creating and maintaining ripgrep, a fast command-line search tool.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98b07f0819093595e958fa0317b completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75124cab88190a1510d77ed61c945 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:25 p.m.