Triple

T20628850
Position Surface form Disambiguated ID Type / Status
Subject Weir E506895 entity
Predicate hasNotableBearer P458 FINISHED
Object John Weir
John Weir is a relatively common personal name shared by multiple individuals across fields such as sports, literature, and public service.
 E1440979 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 Weir | Statement: [Weir, hasNotableBearer, John Weir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Weir
Context triple: [Weir, hasNotableBearer, John Weir]
  • A. John Ferguson Weir
    John Ferguson Weir was a 19th-century American painter and influential art educator who served as the first director of the Yale School of Fine Arts.
  • B. Jon Wright
    Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
  • C. John Pierson
    John Pierson is a notable individual, likely recognized for significant contributions in his professional field or public life.
  • D. Douglas Gerrard
    Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
  • E. Ron Cooke
    Ron Cooke is a British academic and geographer best known for serving as Vice-Chancellor of the University of York and for his contributions to higher education and urban regeneration.
  • 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 Weir
Triple: [Weir, hasNotableBearer, John Weir]
Generated description
John Weir is a relatively common personal name shared by multiple individuals across fields such as sports, literature, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Weir
Target entity description: John Weir is a relatively common personal name shared by multiple individuals across fields such as sports, literature, and public service.
  • A. John Ferguson Weir
    John Ferguson Weir was a 19th-century American painter and influential art educator who served as the first director of the Yale School of Fine Arts.
  • B. Jon Wright
    Jon Wright is a British entrepreneur best known as one of the co-founders of the smoothie and juice company Innocent Drinks.
  • C. John Pierson
    John Pierson is a notable individual, likely recognized for significant contributions in his professional field or public life.
  • D. Douglas Gerrard
    Douglas Gerrard was an early 20th-century film actor and director who appeared in numerous silent-era productions.
  • E. Ron Cooke
    Ron Cooke is a British academic and geographer best known for serving as Vice-Chancellor of the University of York and for his contributions to higher education and urban regeneration.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe771e88190a48471bf83b4804d completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1fbaa48190a9299f137e3b3a62 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bbede37481909b842e99d4b29ed4 completed May 16, 2026, 6:48 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc6cc7a48190b6faba13514ec391 completed May 16, 2026, 6:50 p.m.
Created at: April 16, 2026, 11:42 a.m.