Triple

T11747889
Position Surface form Disambiguated ID Type / Status
Subject Healey E279330 entity
Predicate hasNotableBearer P458 FINISHED
Object John Healey
John Healey is a British Labour Party politician who has served as Member of Parliament for Wentworth and Dearne and has held several senior shadow cabinet roles.
E957553 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 Healey | Statement: [Healey, hasNotableBearer, John Healey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Healey
Context triple: [Healey, hasNotableBearer, John Healey]
  • A. Will Healey
    Will Healey is a notable individual recognized for achievements significant enough to be distinguished among others sharing the surname Healey.
  • B. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • C. Mark Healey
    Mark Healey is a British video game designer best known as a co-founder of Media Molecule and the creative director behind the acclaimed game LittleBigPlanet.
  • D. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as "Teaching Mrs. Tingle."
  • E. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as the psychological thriller "Insomnia" (2002).
  • 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 Healey
Triple: [Healey, hasNotableBearer, John Healey]
Generated description
John Healey is a British Labour Party politician who has served as Member of Parliament for Wentworth and Dearne and has held several senior shadow cabinet roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Healey
Target entity description: John Healey is a British Labour Party politician who has served as Member of Parliament for Wentworth and Dearne and has held several senior shadow cabinet roles.
  • A. Will Healey
    Will Healey is a notable individual recognized for achievements significant enough to be distinguished among others sharing the surname Healey.
  • B. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • C. Mark Healey
    Mark Healey is a British video game designer best known as a co-founder of Media Molecule and the creative director behind the acclaimed game LittleBigPlanet.
  • D. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as "Teaching Mrs. Tingle."
  • E. Edward McDonnell
    Edward McDonnell is a film producer known for his work on movies such as the psychological thriller "Insomnia" (2002).
  • 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_69f4713ee6e48190ab1860b9899b7b48 completed May 1, 2026, 9:24 a.m.
NEDg Description generation batch_69f47b755f808190acb2fb31473d2405 completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47d8bbae8819088d48b300291ef74 completed May 1, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:41 p.m.