Triple

T20516817
Position Surface form Disambiguated ID Type / Status
Subject Whiteley E503701 entity
Predicate usedBy P260 FINISHED
Object William Whiteley
William Whiteley was a pioneering 19th-century British entrepreneur best known for founding Whiteleys, one of London’s first department stores.
 E1445154 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: William Whiteley | Statement: [Whiteley, usedBy, William Whiteley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Whiteley
Context triple: [Whiteley, usedBy, William Whiteley]
  • A. David Whiteley
    David Whiteley is an actor known for appearing in the action thriller film "Killer Elite."
  • B. Arthur Whiteley
    Arthur Whiteley was an American developmental biologist known for his research on sea urchin embryology and his long tenure at the University of Washington.
  • C. John Whiteley
    John Whiteley is a relatively obscure individual about whom no widely known public information is available beyond his association with the name Whiteley.
  • D. John Wainwright
    John Wainwright is the super-intelligent, physically and mentally advanced mutant protagonist of Olaf Stapledon’s science fiction novel "Odd John."
  • E. Michael Dowse
    Michael Dowse is a Canadian film and television director known for energetic, character-driven comedies such as "Fubar," "Goon," and the action-comedy "Stuber."
  • 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: William Whiteley
Triple: [Whiteley, usedBy, William Whiteley]
Generated description
William Whiteley was a pioneering 19th-century British entrepreneur best known for founding Whiteleys, one of London’s first department stores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Whiteley
Target entity description: William Whiteley was a pioneering 19th-century British entrepreneur best known for founding Whiteleys, one of London’s first department stores.
  • A. David Whiteley
    David Whiteley is an actor known for appearing in the action thriller film "Killer Elite."
  • B. Arthur Whiteley
    Arthur Whiteley was an American developmental biologist known for his research on sea urchin embryology and his long tenure at the University of Washington.
  • C. John Whiteley
    John Whiteley is a relatively obscure individual about whom no widely known public information is available beyond his association with the name Whiteley.
  • D. John Wainwright
    John Wainwright is the super-intelligent, physically and mentally advanced mutant protagonist of Olaf Stapledon’s science fiction novel "Odd John."
  • E. Michael Dowse
    Michael Dowse is a Canadian film and television director known for energetic, character-driven comedies such as "Fubar," "Goon," and the action-comedy "Stuber."
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7cce488819080170d14a183f629 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d83d05008190b5c3b17cfe355ae5 completed May 16, 2026, 8:49 p.m.
NED2 Entity disambiguation (via description) batch_6a08d89d6fb48190b3ce407739685563 completed May 16, 2026, 8:50 p.m.
Created at: April 16, 2026, 11:36 a.m.