Triple

T21951661
Position Surface form Disambiguated ID Type / Status
Subject Ure E542083 entity
Predicate notableBearer P458 FINISHED
Object Jean Ure
Jean Ure is a British author best known for her humorous and emotionally insightful children's and young adult novels.
E1510535 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: Jean Ure | Statement: [Ure, notableBearer, Jean Ure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Ure
Context triple: [Ure, notableBearer, Jean Ure]
  • A. Ian Nimmo-Smith
    Ian Nimmo-Smith is a British psychologist and researcher known for his work in applied psychology and cognitive science.
  • B. Ian Weir
    Ian Weir is a Canadian novelist, screenwriter, and playwright known for works such as the novel "Daniel O’Thunder" and for writing and producing television dramas.
  • C. Robin Urquhart
    Robin Urquhart is an individual notable enough to be recognized as a prominent bearer of the surname Urquhart.
  • D. Adrian Orr
    Adrian Orr is a New Zealand economist and central banker who serves as the Governor of the Reserve Bank of New Zealand, overseeing the country’s monetary policy and financial stability.
  • E. Gilean McVean
    Gilean McVean is a British statistical geneticist known for his influential work on population genetics, human genomics, and the development of computational methods for analyzing genetic variation.
  • 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: Jean Ure
Triple: [Ure, notableBearer, Jean Ure]
Generated description
Jean Ure is a British author best known for her humorous and emotionally insightful children's and young adult novels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jean Ure
Target entity description: Jean Ure is a British author best known for her humorous and emotionally insightful children's and young adult novels.
  • A. Ian Nimmo-Smith
    Ian Nimmo-Smith is a British psychologist and researcher known for his work in applied psychology and cognitive science.
  • B. Ian Weir
    Ian Weir is a Canadian novelist, screenwriter, and playwright known for works such as the novel "Daniel O’Thunder" and for writing and producing television dramas.
  • C. Robin Urquhart
    Robin Urquhart is an individual notable enough to be recognized as a prominent bearer of the surname Urquhart.
  • D. Adrian Orr
    Adrian Orr is a New Zealand economist and central banker who serves as the Governor of the Reserve Bank of New Zealand, overseeing the country’s monetary policy and financial stability.
  • E. Gilean McVean
    Gilean McVean is a British statistical geneticist known for his influential work on population genetics, human genomics, and the development of computational methods for analyzing genetic variation.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a670241e48190ab2e085b11bf5161 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a6812112c81909844ab725dff79ed completed May 18, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68846fb88190bbe1510608aa9468 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 7:58 p.m.