Triple

T3042219
Position Surface form Disambiguated ID Type / Status
Subject Bowen E83155 entity
Predicate hasNotableBearer P458 FINISHED
Object John Bowen (various)
John Bowen is a name shared by multiple notable individuals across different fields, such as literature, politics, and academia.
 E320045 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 Bowen (various) | Statement: [Bowen, hasNotableBearer, John Bowen (various)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Bowen (various)
Context triple: [Bowen, hasNotableBearer, John Bowen (various)]
  • A. Stephen Bowen
    Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
  • B. James Bowler
    James Bowler is a senior British civil servant who serves as the Permanent Secretary to HM Treasury, overseeing the UK government's economic and financial administration.
  • C. Gordon Bowker
    Gordon Bowker is an American writer and entrepreneur best known as one of the co-founders of the global coffee company Starbucks.
  • D. Charles Pettaway
    Charles Pettaway is a music producer known for his work on the album "Back to Basics."
  • E. John Peverall
    John Peverall was a British film producer best known for his work on the acclaimed war drama "The Deer Hunter."
  • 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 Bowen (various)
Triple: [Bowen, hasNotableBearer, John Bowen (various)]
Generated description
John Bowen is a name shared by multiple notable individuals across different fields, such as literature, politics, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Bowen (various)
Target entity description: John Bowen is a name shared by multiple notable individuals across different fields, such as literature, politics, and academia.
  • A. Stephen Bowen
    Stephen Bowen is a former American football defensive end who played in the NFL, most notably for the Dallas Cowboys and Washington Redskins.
  • B. James Bowler
    James Bowler is a senior British civil servant who serves as the Permanent Secretary to HM Treasury, overseeing the UK government's economic and financial administration.
  • C. Gordon Bowker
    Gordon Bowker is an American writer and entrepreneur best known as one of the co-founders of the global coffee company Starbucks.
  • D. Charles Pettaway
    Charles Pettaway is a music producer known for his work on the album "Back to Basics."
  • E. John Peverall
    John Peverall was a British film producer best known for his work on the acclaimed war drama "The Deer Hunter."
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b5d2a308190b4ce20efcae9b761 completed March 8, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded01a1481908be7d44c2bf4e638 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1df626de08190891d9a5e197d5b20 completed March 11, 2026, 9:32 p.m.
NED2 Entity disambiguation (via description) batch_69b1dff55d5881909b14239a4232e617 completed March 11, 2026, 9:34 p.m.
Created at: March 8, 2026, 3:01 p.m.