Triple

T6718274
Position Surface form Disambiguated ID Type / Status
Subject Christopher Buckley E153327 entity
Predicate hasChild P369 FINISHED
Object Jonathan Buckley
Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
 E644140 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: Jonathan Buckley | Statement: [Christopher Buckley, hasChild, Jonathan Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonathan Buckley
Context triple: [Christopher Buckley, hasChild, Jonathan Buckley]
  • A. David Buckley
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • B. Rob Buckley
    Rob Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who has no widely recognized public profile.
  • C. Paul Buckley
    Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
  • D. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • E. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • 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: Jonathan Buckley
Triple: [Christopher Buckley, hasChild, Jonathan Buckley]
Generated description
Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonathan Buckley
Target entity description: Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
  • A. David Buckley
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • B. Rob Buckley
    Rob Buckley is a relatively obscure individual whose name is notably associated with the surname Buckley but who has no widely recognized public profile.
  • C. Paul Buckley
    Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
  • D. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • E. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d12765a48190b485176dc2ffa0fa completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a30754cc8190beeb97b48c167a15 completed March 28, 2026, 9:44 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:07 p.m.