Triple

T21165927
Position Surface form Disambiguated ID Type / Status
Subject Michael Llewelyn Davies E521561 entity
Predicate attended P1509 FINISHED
Object Eton College 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: Eton College | Statement: [Michael Llewelyn Davies, attended, Eton College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eton College
Context triple: [Michael Llewelyn Davies, attended, Eton College]
  • A. Eton College chosen
    Eton College is a prestigious independent boarding school for boys in England, renowned for educating numerous British prime ministers and other prominent figures.
  • B. Eton School
    Eton School is a private educational institution in Santa Fe, Mexico City, known for offering bilingual, internationally oriented schooling.
  • C. Eton
    Eton is a Bantu language spoken by the Beti-Pahuin people, primarily in central Cameroon.
  • D. Eton
    Eton is a small city in Murray County, Georgia, known for its rural character and proximity to the Appalachian foothills.
  • E. Wellington College
    Wellington College is a prestigious English public boarding school in Berkshire, known for its strong academic tradition and historic military associations.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 2:59 p.m.