Triple

T11747902
Position Surface form Disambiguated ID Type / Status
Subject Healey E279330 entity
Predicate hasNotableBearer P458 FINISHED
Object Brian Healey
Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
E970116 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: Brian Healey | Statement: [Healey, hasNotableBearer, Brian Healey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Healey
Context triple: [Healey, hasNotableBearer, Brian Healey]
  • A. Tom Healey
    Tom Healey is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Healey.
  • B. Michael Healey
    Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
  • C. John Healy
    John Healy is a musician known for being a member of the Irish-American band O'Malley's March.
  • D. Brian Singerman
    Brian Singerman is an American venture capitalist and prominent partner at Founders Fund, known for investing in high-growth technology startups.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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: Brian Healey
Triple: [Healey, hasNotableBearer, Brian Healey]
Generated description
Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Healey
Target entity description: Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • A. Tom Healey
    Tom Healey is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Healey.
  • B. Michael Healey
    Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
  • C. John Healy
    John Healy is a musician known for being a member of the Irish-American band O'Malley's March.
  • D. Brian Singerman
    Brian Singerman is an American venture capitalist and prominent partner at Founders Fund, known for investing in high-growth technology startups.
  • E. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a527dc08190a3ce08ddedaa5753 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60cca20f48190b8e6e591144f252e completed May 2, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:41 p.m.