Triple

T8412364
Position Surface form Disambiguated ID Type / Status
Subject Charlie Bewley E198654 entity
Predicate familyName P18 FINISHED
Object Bewley
Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
 E732804 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: Bewley | Statement: [Charlie Bewley, familyName, Bewley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bewley
Context triple: [Charlie Bewley, familyName, Bewley]
  • A. Bewdley
    Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
  • B. Beverley
    Beverley is a historic market town and civil parish in the East Riding of Yorkshire, England, known for its impressive Gothic minster and medieval architecture.
  • C. Broadley
    Broadley is a locality or district that forms part of the town of Whitworth in England.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • 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: Bewley
Triple: [Charlie Bewley, familyName, Bewley]
Generated description
Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bewley
Target entity description: Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
  • A. Bewdley
    Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
  • B. Beverley
    Beverley is a historic market town and civil parish in the East Riding of Yorkshire, England, known for its impressive Gothic minster and medieval architecture.
  • C. Broadley
    Broadley is a locality or district that forms part of the town of Whitworth in England.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Blackley
    Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e0341c819080506e696131671e completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0322d1448190aceaf7486c110ff7 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce0781859c8190bb92f41c00af459b completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce089d09c08190ba321aed4044a862 completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.