Triple

T18533895
Position Surface form Disambiguated ID Type / Status
Subject Sir John Willison E452911 entity
Predicate familyName P18 FINISHED
Object Willison NE NERFINISHED

How this triple was built (2 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: Willison | Statement: [Sir John Willison, familyName, Willison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willison
Context triple: [Sir John Willison, familyName, Willison]
  • A. Willison
    Willison is a small suburban railway station in Melbourne, Australia, located on the Alamein line and serving the surrounding residential area.
  • B. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • C. Wils
    Wils is a Dutch surname most notably borne by Jan Wils, an architect associated with the De Stijl movement and designer of the 1928 Olympic Stadium in Amsterdam.
  • D. Wilkerson
    Wilkerson is the surname of Muhammad Wilkerson, an American former NFL defensive end best known for his Pro Bowl tenure with the New York Jets.
  • E. Willson chosen
    Willson is a less common spelling variant of the surname Wilson, typically used as a family name or occasionally as a given name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53400d548819080b17f30b3ee7174 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.