Triple

T1265839
Position Surface form Disambiguated ID Type / Status
Subject Sarah Churchill E12597 entity
Predicate educatedAt P5 FINISHED
Object Notting Hill High School E67782 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: Notting Hill High School | Statement: [Sarah Churchill, educatedAt, Notting Hill High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Notting Hill High School
Context triple: [Sarah Churchill, educatedAt, Notting Hill High School]
  • A. Notting Hill High School chosen
    Notting Hill High School was a prominent girls' secondary school in London known for educating several notable women, including actress Diana Churchill.
  • B. Coal Hill Academy
    Coal Hill Academy is a fictional London secondary school in the Doctor Who universe that serves as the primary setting for the spin-off series "Class."
  • C. Mill Hill School
    Mill Hill School is a historic independent co-educational day and boarding school in north London known for its strong academic tradition and notable alumni.
  • D. Westminster City School
    Westminster City School is a boys' secondary school in central London known for its academic focus and notable alumni.
  • E. North Harrow
    North Harrow is a suburban residential district in northwest London known for its local shopping area, transport links, and community amenities.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4c036deb881909b234894347c75c6 completed March 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc61df4b48190aa142f30026e6580 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:50 p.m.