Triple

T23235947
Position Surface form Disambiguated ID Type / Status
Subject Gerard Lake E581293 entity
Predicate placeOfBirth P1 FINISHED
Object Harrow on the Hill 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: Harrow on the Hill | Statement: [Gerard Lake, placeOfBirth, Harrow on the Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow on the Hill
Context triple: [Gerard Lake, placeOfBirth, Harrow on the Hill]
  • A. Harrow on the Hill chosen
    Harrow on the Hill is a historic village and suburban area in northwest London, known for its elevated position, picturesque streets, and the prestigious Harrow School.
  • B. 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.
  • C. North Harrow
    North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
  • 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. Harrow Green
    Harrow Green is a locality in the Leytonstone area of East London, known for its junction and surrounding residential and commercial streets.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e98dec8190a23385600bed9ae0 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.