Triple

T9927744
Position Surface form Disambiguated ID Type / Status
Subject Oxley E187963 entity
Predicate hasNotableBearer P458 FINISHED
Object David Oxley
David Oxley was an English actor best known for his roles in mid-20th-century film and television, including his performance in the 1959 horror film "The Hound of the Baskervilles."
E833398 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 Oxley | Statement: [Oxley, hasNotableBearer, David Oxley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Oxley
Context triple: [Oxley, hasNotableBearer, David Oxley]
  • A. Mark Oxley
    Mark Oxley is an English professional football goalkeeper known for playing in the lower tiers of the English football league system.
  • B. Chad Oxley
    Chad Oxley is an individual notable enough to be recognized as a prominent bearer of the surname Oxley, though specific widely known public details about him are limited.
  • C. Nigel Olifaunt
    Nigel Olifaunt is the fictional Scottish nobleman who serves as the protagonist of Sir Walter Scott’s novel "The Fortunes of Nigel."
  • D. Chris Haywood
    Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
  • E. Jeffrey Stott
    Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
  • 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 Oxley
Triple: [Oxley, hasNotableBearer, David Oxley]
Generated description
David Oxley was an English actor best known for his roles in mid-20th-century film and television, including his performance in the 1959 horror film "The Hound of the Baskervilles."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Oxley
Target entity description: David Oxley was an English actor best known for his roles in mid-20th-century film and television, including his performance in the 1959 horror film "The Hound of the Baskervilles."
  • A. Mark Oxley
    Mark Oxley is an English professional football goalkeeper known for playing in the lower tiers of the English football league system.
  • B. Chad Oxley
    Chad Oxley is an individual notable enough to be recognized as a prominent bearer of the surname Oxley, though specific widely known public details about him are limited.
  • C. Nigel Olifaunt
    Nigel Olifaunt is the fictional Scottish nobleman who serves as the protagonist of Sir Walter Scott’s novel "The Fortunes of Nigel."
  • D. Chris Haywood
    Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
  • E. Jeffrey Stott
    Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2578e92f08190ba53f943f3da2166 completed April 5, 2026, 12:37 p.m.
NEDg Description generation batch_69d258e3c3908190a8358da3c8352fe1 completed April 5, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69d25977ab988190969ed8ff8eb53ddd completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:43 p.m.