Triple

T20140924
Position Surface form Disambiguated ID Type / Status
Subject Prank Encounters E491161 entity
Predicate executiveProducer P7225 FINISHED
Object Kevin Healey
Kevin Healey is a television producer best known for creating and producing reality and prank-based series.
E1471789 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: Kevin Healey | Statement: [Prank Encounters, executiveProducer, Kevin Healey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Healey
Context triple: [Prank Encounters, executiveProducer, Kevin Healey]
  • A. Kevin Healey
    Kevin Healey is a British autism campaigner and activist known for his work raising awareness of autism and combating online bullying and discrimination.
  • 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. Chris Healey
    Chris Healey is a computer scientist known for his work in information visualization and visual analytics.
  • D. Kevin McKeown
    Kevin McKeown is a musician best known as a member of the Irish-Canadian folk group The Irish Rovers.
  • E. Brian Healey
    Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • 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: Kevin Healey
Triple: [Prank Encounters, executiveProducer, Kevin Healey]
Generated description
Kevin Healey is a television producer best known for creating and producing reality and prank-based series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kevin Healey
Target entity description: Kevin Healey is a television producer best known for creating and producing reality and prank-based series.
  • A. Kevin Healey
    Kevin Healey is a British autism campaigner and activist known for his work raising awareness of autism and combating online bullying and discrimination.
  • 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. Chris Healey
    Chris Healey is a computer scientist known for his work in information visualization and visual analytics.
  • D. Kevin McKeown
    Kevin McKeown is a musician best known as a member of the Irish-Canadian folk group The Irish Rovers.
  • E. Brian Healey
    Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a097eaf5bac8190b8904b5834225aa1 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a098022524481908858de1c80172973 completed May 17, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a09810158948190a9504d50c964efd9 completed May 17, 2026, 8:49 a.m.
Created at: April 11, 2026, 11:32 p.m.