Triple

T22657703
Position Surface form Disambiguated ID Type / Status
Subject Brunel University London E559271 entity
Predicate hasChancellor P325 FINISHED
Object Sir Richard Sykes NE NERFINISHED

How this triple was built (3 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: Sir Richard Sykes | Statement: [Brunel University London, hasChancellor, Sir Richard Sykes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Richard Sykes
Context triple: [Brunel University London, hasChancellor, Sir Richard Sykes]
  • A. Sir Richard Barrons
    Sir Richard Barrons is a retired senior British Army officer who served as Chief of Joint Forces Command and played a key role in modernizing the UK’s armed forces.
  • B. Sir Eric Savill
    Sir Eric Savill was a British horticulturist and landscape designer best known for creating the renowned Savill Garden in Windsor Great Park.
  • C. Sir Richard Hill
    Sir Richard Hill was an 18th-century English landowner and politician best known for transforming his Hawkstone estate into an extensive landscape garden filled with dramatic follies and picturesque features.
  • D. Sir Hugh Evans
    Sir Hugh Evans is a comically pedantic Welsh parson in Shakespeare’s *The Merry Wives of Windsor*, known for his distinctive accent and meddling in the play’s romantic intrigues.
  • E. Sir John Saunders
    Sir John Saunders is a British retired High Court judge known for leading the public inquiry into the 2017 Manchester Arena bombing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sir Richard Sykes
Target entity description: Sir Richard Sykes is a British biochemist and businessman best known for leading major pharmaceutical companies such as GlaxoSmithKline and for holding prominent roles in higher education and public service.
  • A. Sir Richard Barrons
    Sir Richard Barrons is a retired senior British Army officer who served as Chief of Joint Forces Command and played a key role in modernizing the UK’s armed forces.
  • B. Sir Eric Savill
    Sir Eric Savill was a British horticulturist and landscape designer best known for creating the renowned Savill Garden in Windsor Great Park.
  • C. Sir Richard Hill
    Sir Richard Hill was an 18th-century English landowner and politician best known for transforming his Hawkstone estate into an extensive landscape garden filled with dramatic follies and picturesque features.
  • D. Sir Hugh Evans
    Sir Hugh Evans is a comically pedantic Welsh parson in Shakespeare’s *The Merry Wives of Windsor*, known for his distinctive accent and meddling in the play’s romantic intrigues.
  • E. Sir John Saunders
    Sir John Saunders is a British retired High Court judge known for leading the public inquiry into the 2017 Manchester Arena bombing.
  • F. None of above. chosen

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765d10588190b4574f3e64617cd4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.