Triple

T4029724
Position Surface form Disambiguated ID Type / Status
Subject Miss Quill E83677 entity
Predicate setting P1957 FINISHED
Object Coal Hill Academy E89728 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: Coal Hill Academy | Statement: [Miss Quill, setting, Coal Hill Academy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coal Hill Academy
Context triple: [Miss Quill, setting, Coal Hill Academy]
  • A. Coal Hill Academy chosen
    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."
  • B. 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.
  • C. Swinton Academy
    Swinton Academy is a secondary school serving the community of Swinton in South Yorkshire, England.
  • D. Blackheath High School
    Blackheath High School is an independent girls' day school in Blackheath, London, known for its strong academic record and broad extracurricular offerings.
  • E. Notting Hill High School
    Notting Hill High School was a prominent girls' secondary school in London known for educating several notable women, including actress Diana Churchill.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562948c9081909054a756794e8576 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:36 p.m.