Triple

T6905744
Position Surface form Disambiguated ID Type / Status
Subject BU Terriers E159807 entity
Predicate producedPlayer P5829 FINISHED
Object John Cullen
John Cullen is a former professional ice hockey goaltender best known for his standout collegiate career with the Boston University Terriers and subsequent play in the NHL.
 E626814 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: John Cullen | Statement: [BU Terriers, producedPlayer, John Cullen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Cullen
Context triple: [BU Terriers, producedPlayer, John Cullen]
  • A. Tom Cullen
    Tom Cullen is a co-founder of Sonos, the company known for pioneering wireless multi-room home audio systems.
  • B. Andy Cullen
    Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
  • C. Phil Callaghan
    Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
  • D. Keith Donnellan
    Keith Donnellan was an American philosopher best known for his influential work in the philosophy of language, especially on reference, definite descriptions, and the distinction between referential and attributive uses.
  • E. Richard O'Callaghan
    Richard O'Callaghan is a British actor known for his roles in film, television, and theatre, particularly in the later entries of the "Carry On" comedy series.
  • 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: John Cullen
Triple: [BU Terriers, producedPlayer, John Cullen]
Generated description
John Cullen is a former professional ice hockey goaltender best known for his standout collegiate career with the Boston University Terriers and subsequent play in the NHL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Cullen
Target entity description: John Cullen is a former professional ice hockey goaltender best known for his standout collegiate career with the Boston University Terriers and subsequent play in the NHL.
  • A. Tom Cullen
    Tom Cullen is a co-founder of Sonos, the company known for pioneering wireless multi-room home audio systems.
  • B. Andy Cullen
    Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
  • C. Phil Callaghan
    Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
  • D. Keith Donnellan
    Keith Donnellan was an American philosopher best known for his influential work in the philosophy of language, especially on reference, definite descriptions, and the distinction between referential and attributive uses.
  • E. Richard O'Callaghan
    Richard O'Callaghan is a British actor known for his roles in film, television, and theatre, particularly in the later entries of the "Carry On" comedy series.
  • 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_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749901de081908e5c3ccd324e8191 completed March 28, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c74a0bcddc819084b22925cf57a205 completed March 28, 2026, 3:24 a.m.
Created at: March 27, 2026, 2:25 p.m.