Triple

T17620302
Position Surface form Disambiguated ID Type / Status
Subject Sir John Laws E429691 entity
Predicate educatedAt P5 FINISHED
Object Durham School 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: Durham School | Statement: [Sir John Laws, educatedAt, Durham School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durham School
Context triple: [Sir John Laws, educatedAt, Durham School]
  • A. Durham School chosen
    Durham School is a historic independent boarding and day school in Durham, England, known for educating notable figures such as abolitionist Granville Sharp.
  • B. St Aidan's College, Durham
    St Aidan's College, Durham is a constituent college of Durham University known for its strong community spirit and elevated position overlooking the city.
  • C. Bedford School
    Bedford School is a historic independent boarding and day school for boys in Bedford, England, known for its strong academic tradition and notable alumni.
  • D. Abingdon School
    Abingdon School is a historic independent day and boarding school for boys located in Abingdon, Oxfordshire, England.
  • E. Warwick School
    Warwick School is a historic independent day and boarding school for boys located in Warwick, England, known as one of the oldest surviving schools in the country.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3547d88190ae3c9ffed63133c9 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.