Triple

T8510189
Position Surface form Disambiguated ID Type / Status
Subject Tim Henman E201432 entity
Predicate coach P2169 FINISHED
Object David Felgate
David Felgate is a British tennis coach and former professional player best known for guiding Tim Henman during his rise into the world’s top ranks in the 1990s.
 E740095 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: David Felgate | Statement: [Tim Henman, coach, David Felgate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Felgate
Context triple: [Tim Henman, coach, David Felgate]
  • A. David Worth
    David Worth is an American cinematographer and film director best known for his work on action films, including collaborations with Clint Eastwood and Jean-Claude Van Damme.
  • B. Adam Follett
    Adam Follett is one of the children of bestselling British novelist Ken Follett.
  • C. Ben Cafferty
    Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
  • D. Douglas Meyer
    Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
  • E. Andrew Fagan
    Andrew Fagan is a New Zealand singer-songwriter and poet best known as the frontman of the 1980s band The Mockers and for his later solo and literary work.
  • 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: David Felgate
Triple: [Tim Henman, coach, David Felgate]
Generated description
David Felgate is a British tennis coach and former professional player best known for guiding Tim Henman during his rise into the world’s top ranks in the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Felgate
Target entity description: David Felgate is a British tennis coach and former professional player best known for guiding Tim Henman during his rise into the world’s top ranks in the 1990s.
  • A. David Worth
    David Worth is an American cinematographer and film director best known for his work on action films, including collaborations with Clint Eastwood and Jean-Claude Van Damme.
  • B. Adam Follett
    Adam Follett is one of the children of bestselling British novelist Ken Follett.
  • C. Ben Cafferty
    Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
  • D. Douglas Meyer
    Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
  • E. Andrew Fagan
    Andrew Fagan is a New Zealand singer-songwriter and poet best known as the frontman of the 1980s band The Mockers and for his later solo and literary work.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5e0cb1881909d1ff6ee9b3a65cc completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d2eef208190b505a64d01f656f4 completed April 2, 2026, 1:20 p.m.
NEDg Description generation batch_69ce6e69213c8190add7eb9cc74b1a33 completed April 2, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f28ae6481909a8a13613f3eb5e0 completed April 2, 2026, 1:29 p.m.
Created at: March 30, 2026, 6:15 p.m.