Triple

T7191440
Position Surface form Disambiguated ID Type / Status
Subject Thom Yorke E167699 entity
Predicate educatedAt P5 FINISHED
Object Abingdon School E322439 NE FINISHED

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: Abingdon School | Statement: [Thom Yorke, educatedAt, Abingdon School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abingdon School
Context triple: [Thom Yorke, educatedAt, Abingdon School]
  • A. Abingdon School chosen
    Abingdon School is a historic independent day and boarding school for boys located in Abingdon, Oxfordshire, England.
  • B. Westminster School
    Westminster School is a historic and prestigious independent school in central London, renowned for educating many prominent British political and cultural figures.
  • C. Harrow School
    Harrow School is a prestigious independent boarding school for boys in London, England, renowned for educating numerous prominent figures in British political and cultural life.
  • D. Harrow College
    Harrow College is a further education institution in the London Borough of Harrow offering a range of vocational courses, A-levels, and adult education programs.
  • E. Berkhamsted School
    Berkhamsted School is a historic independent day school in Hertfordshire, England, known for its academic reputation and long-standing traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e90087208190a65e49ae0e8a7cbf completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca0812dcec819080c8386061d913b3 completed March 30, 2026, 5:20 a.m.
Created at: March 27, 2026, 2:50 p.m.