Triple

T15059849
Position Surface form Disambiguated ID Type / Status
Subject Burke E379595 entity
Predicate hasNotableBearer P458 FINISHED
Object Bill Burke
Bill Burke is a name shared by several notable individuals, including professionals in fields such as sports, business, and the arts.
 E1141988 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: Bill Burke | Statement: [Burke, hasNotableBearer, Bill Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bill Burke
Context triple: [Burke, hasNotableBearer, Bill Burke]
  • A. Tim Metcalfe
    Tim Metcalfe is an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
  • B. David Holbrook
    David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
  • C. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • D. Paul Dooley
    Paul Dooley is an American character actor, writer, and comedian known for his roles in films such as "Breaking Away," "Sixteen Candles," and numerous television series.
  • E. Larry Lamb
    Larry Lamb is an English actor and radio presenter best known for his roles in television series such as Gavin & Stacey and EastEnders.
  • 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: Bill Burke
Triple: [Burke, hasNotableBearer, Bill Burke]
Generated description
Bill Burke is a name shared by several notable individuals, including professionals in fields such as sports, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bill Burke
Target entity description: Bill Burke is a name shared by several notable individuals, including professionals in fields such as sports, business, and the arts.
  • A. Tim Metcalfe
    Tim Metcalfe is an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
  • B. David Holbrook
    David Holbrook is a British literary critic and scholar known for his work on modernist literature, education, and cultural criticism.
  • C. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • D. Paul Dooley
    Paul Dooley is an American character actor, writer, and comedian known for his roles in films such as "Breaking Away," "Sixteen Candles," and numerous television series.
  • E. Larry Lamb
    Larry Lamb is an English actor and radio presenter best known for his roles in television series such as Gavin & Stacey and EastEnders.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec878c52c8190bf010b1fd4d21f65 completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fecc54e7a08190bcdc6a53508dd9e7 completed May 9, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69feccca7d908190b0be236cf18e7b4c completed May 9, 2026, 5:57 a.m.
Created at: April 10, 2026, 3:01 a.m.