Triple

T7659768
Position Surface form Disambiguated ID Type / Status
Subject Don Bexley E173474 entity
Predicate familyName P18 FINISHED
Object Bexley
Bexley is a surname most notably associated with American actor and comedian Don Bexley, known for his role on the television show "Sanford and Son."
 E689849 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: Bexley | Statement: [Don Bexley, familyName, Bexley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bexley
Context triple: [Don Bexley, familyName, Bexley]
  • A. Bexley
    Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
  • B. Bexleyheath
    Bexleyheath is a suburban district and major commercial centre in the London Borough of Bexley, southeast London, England.
  • C. Bromley
    Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
  • D. London Borough of Bexley
    The London Borough of Bexley is a suburban borough in southeast London known for its residential character, green spaces, and location along the River Thames.
  • E. Dagenham
    Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • 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: Bexley
Triple: [Don Bexley, familyName, Bexley]
Generated description
Bexley is a surname most notably associated with American actor and comedian Don Bexley, known for his role on the television show "Sanford and Son."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bexley
Target entity description: Bexley is a surname most notably associated with American actor and comedian Don Bexley, known for his role on the television show "Sanford and Son."
  • A. Bexley
    Bexley is a suburban area and former parliamentary constituency in southeast London, England, historically represented in Parliament by future Prime Minister Edward Heath.
  • B. Bexleyheath
    Bexleyheath is a suburban district and major commercial centre in the London Borough of Bexley, southeast London, England.
  • C. Bromley
    Bromley is a large suburban town in southeast London, England, known as a major commercial and retail centre within the London Borough of Bromley.
  • D. London Borough of Bexley
    The London Borough of Bexley is a suburban borough in southeast London known for its residential character, green spaces, and location along the River Thames.
  • E. Dagenham
    Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9116b86cc8190997077243f99cc7d completed March 29, 2026, 11:47 a.m.
NEDg Description generation batch_69c912219dd8819098157c3d0d22eaac completed March 29, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c9138753088190ad84f49ad04f2b8a completed March 29, 2026, 11:56 a.m.
Created at: March 27, 2026, 3:59 p.m.