Triple

T11527547
Position Surface form Disambiguated ID Type / Status
Subject Buckley E273334 entity
Predicate namedFor P63 FINISHED
Object J. M. Buckley
J. M. Buckley was a prominent 19th-century American Methodist Episcopal bishop, editor, and author known for his influence on church policy and religious thought.
 E931910 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: J. M. Buckley | Statement: [Buckley, namedFor, J. M. Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J. M. Buckley
Context triple: [Buckley, namedFor, J. M. 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. Paul Buckley
    Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
  • C. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • D. C. C. Lynam
    C. C. Lynam was a British educator best known for establishing the Dragon School in Oxford, one of England’s leading preparatory schools.
  • E. Jonathan Buckley
    Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
  • 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: J. M. Buckley
Triple: [Buckley, namedFor, J. M. Buckley]
Generated description
J. M. Buckley was a prominent 19th-century American Methodist Episcopal bishop, editor, and author known for his influence on church policy and religious thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: J. M. Buckley
Target entity description: J. M. Buckley was a prominent 19th-century American Methodist Episcopal bishop, editor, and author known for his influence on church policy and religious thought.
  • A. David Buckley
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • B. Paul Buckley
    Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
  • C. Stephen Buckley
    Stephen Buckley is a name shared by several notable individuals, including professionals in fields such as academia, sports, and the arts.
  • D. C. C. Lynam
    C. C. Lynam was a British educator best known for establishing the Dragon School in Oxford, one of England’s leading preparatory schools.
  • E. Jonathan Buckley
    Jonathan Buckley is known as the son of American political satirist and novelist Christopher Buckley.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d883972b10819093bd09cf8406671c completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6855270b08190bdb175a8dede176e completed April 20, 2026, 7:58 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:37 p.m.