Triple

T6905742
Position Surface form Disambiguated ID Type / Status
Subject BU Terriers E159807 entity
Predicate producedPlayer P5829 FINISHED
Object Matt Grzelcyk
Matt Grzelcyk is an American professional ice hockey defenseman known for his tenure with the NHL’s Boston Bruins.
E628363 NE FINISHED

How this triple was built (4 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: Matt Grzelcyk | Statement: [BU Terriers, producedPlayer, Matt Grzelcyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Grzelcyk
Context triple: [BU Terriers, producedPlayer, Matt Grzelcyk]
  • A. John Carlson
    John Carlson is an American professional ice hockey defenseman known for his long tenure and key role with the NHL’s Washington Capitals, including their 2018 Stanley Cup championship.
  • B. David Plante
    David Plante is an American novelist and memoirist known for his introspective, often spiritually themed works and his long-running "Franciscan" series.
  • C. Anthony Gudas
    Anthony Gudas is a film producer known for his work on the movie "Gully."
  • D. Mark Stone
    Mark Stone is a Canadian professional ice hockey forward in the NHL, known as an elite two-way winger and captain of the Vegas Golden Knights.
  • E. Evgeny Kuznetsov
    Evgeny Kuznetsov is a Russian professional ice hockey center best known for his NHL career with the Washington Capitals, including playing a key role in their 2018 Stanley Cup championship.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matt Grzelcyk
Triple: [BU Terriers, producedPlayer, Matt Grzelcyk]
Generated description
Matt Grzelcyk is an American professional ice hockey defenseman known for his tenure with the NHL’s Boston Bruins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Grzelcyk
Target entity description: Matt Grzelcyk is an American professional ice hockey defenseman known for his tenure with the NHL’s Boston Bruins.
  • A. John Carlson
    John Carlson is an American professional ice hockey defenseman known for his long tenure and key role with the NHL’s Washington Capitals, including their 2018 Stanley Cup championship.
  • B. David Plante
    David Plante is an American novelist and memoirist known for his introspective, often spiritually themed works and his long-running "Franciscan" series.
  • C. Anthony Gudas
    Anthony Gudas is a film producer known for his work on the movie "Gully."
  • D. Mark Stone
    Mark Stone is a Canadian professional ice hockey forward in the NHL, known as an elite two-way winger and captain of the Vegas Golden Knights.
  • E. Evgeny Kuznetsov
    Evgeny Kuznetsov is a Russian professional ice hockey center best known for his NHL career with the Washington Capitals, including playing a key role in their 2018 Stanley Cup championship.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c7521b93f0819096660800c1166f5d completed March 28, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_69c75264e65081908859551feaf1006c completed March 28, 2026, 4 a.m.
Created at: March 27, 2026, 2:25 p.m.