Triple

T1730971
Position Surface form Disambiguated ID Type / Status
Subject Lord Lieutenant of Oxfordshire E37808 entity
Predicate officeHoldersInclude P537 FINISHED
Object Tim Stevenson
Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
E230315 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: Tim Stevenson | Statement: [Lord Lieutenant of Oxfordshire, officeHoldersInclude, Tim Stevenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Stevenson
Context triple: [Lord Lieutenant of Oxfordshire, officeHoldersInclude, Tim Stevenson]
  • A. Garth Stevenson
    Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
  • B. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • C. Roger Stevens
    Roger Stevens was a prominent British civil servant and diplomat who notably served as the first Vice-Chancellor of the University of Leeds.
  • D. Ken Ralston
    Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
  • E. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • 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: Tim Stevenson
Triple: [Lord Lieutenant of Oxfordshire, officeHoldersInclude, Tim Stevenson]
Generated description
Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tim Stevenson
Target entity description: Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
  • A. Garth Stevenson
    Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
  • B. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • C. Roger Stevens
    Roger Stevens was a prominent British civil servant and diplomat who notably served as the first Vice-Chancellor of the University of Leeds.
  • D. Ken Ralston
    Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
  • E. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63804cd48190aef5e0f231600e58 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26ee4c088190a767d71f1a68a734 completed March 9, 2026, 1:48 a.m.
NEDg Description generation batch_69ae277895488190ae4a2337cf2ae915 completed March 9, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae27e7113081909835657bfff3f9e8 completed March 9, 2026, 1:52 a.m.
Created at: March 4, 2026, 7:30 p.m.