Triple

T3906703
Position Surface form Disambiguated ID Type / Status
Subject Tanya Adeola E87218 entity
Predicate attendsSchool P23183 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: [Tanya Adeola, attendsSchool, Coal Hill Academy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coal Hill Academy
Context triple: [Tanya Adeola, attendsSchool, 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cace2b88190981e3516123a417d completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.