Triple

T2431069
Position Surface form Disambiguated ID Type / Status
Subject Woodward E52844 entity
Predicate hasNotableBearer P458 FINISHED
Object Ian Woodward
Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
E315802 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: Ian Woodward | Statement: [Woodward, hasNotableBearer, Ian Woodward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Woodward
Context triple: [Woodward, hasNotableBearer, Ian Woodward]
  • A. Alan Cox
    Alan Cox is a prominent British software engineer best known for his extensive work on the Linux kernel and long-standing contributions to the free software movement.
  • B. Colin Goudie
    Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
  • C. Ian Ritchie
    Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
  • D. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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: Ian Woodward
Triple: [Woodward, hasNotableBearer, Ian Woodward]
Generated description
Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ian Woodward
Target entity description: Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
  • A. Alan Cox
    Alan Cox is a prominent British software engineer best known for his extensive work on the Linux kernel and long-standing contributions to the free software movement.
  • B. Colin Goudie
    Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
  • C. Ian Ritchie
    Ian Ritchie is a British architect known for his innovative, high-tech designs and for leading the practice Ian Ritchie Architects.
  • D. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • E. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9c767a88190b31cbccdce8e8982 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108bf1214819091291de2c8343764 completed March 11, 2026, 6:16 a.m.
NEDg Description generation batch_69b109e575588190a178d881a52d06e0 completed March 11, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_69b10a8644208190bf0cf4d6d6d50bf0 completed March 11, 2026, 6:24 a.m.
Created at: March 6, 2026, 9:43 p.m.