Triple

T3042221
Position Surface form Disambiguated ID Type / Status
Subject Bowen E83155 entity
Predicate hasNotableBearer P458 FINISHED
Object Richard Bowen (various)
Richard Bowen is a name shared by multiple notable individuals across different fields, such as business, sports, and public service.
 E320047 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: Richard Bowen (various) | Statement: [Bowen, hasNotableBearer, Richard Bowen (various)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Bowen (various)
Context triple: [Bowen, hasNotableBearer, Richard 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. Tom Bowen
    Tom Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," best known as one of the dancing leads portrayed by Fred Astaire.
  • C. Roger Bowen
    Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
  • D. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • E. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • 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: Richard Bowen (various)
Triple: [Bowen, hasNotableBearer, Richard Bowen (various)]
Generated description
Richard Bowen is a name shared by multiple notable individuals across different fields, such as business, sports, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Bowen (various)
Target entity description: Richard Bowen is a name shared by multiple notable individuals across different fields, such as business, sports, and public service.
  • 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. Tom Bowen
    Tom Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," best known as one of the dancing leads portrayed by Fred Astaire.
  • C. Roger Bowen
    Roger Bowen was an American actor and writer best known for playing Lieutenant Colonel Henry Blake in the 1970 film "MASH."
  • D. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • E. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • 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.