Triple

T6706417
Position Surface form Disambiguated ID Type / Status
Subject Royal Grammar School, Guildford E153014 entity
Predicate hasAlumni P51 FINISHED
Object James May E366840 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: James May | Statement: [Royal Grammar School, Guildford, hasAlumni, James May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James May
Context triple: [Royal Grammar School, Guildford, hasAlumni, James May]
  • A. James May chosen
    James May is a British television presenter, journalist, and writer best known as a former co-host of the motoring show "Top Gear" and later "The Grand Tour."
  • B. Peter Brock
    Peter Brock was a legendary Australian touring car driver, best known for his multiple Bathurst 1000 victories and iconic status in Holden motorsport history.
  • C. Adam Hart-Davis
    Adam Hart-Davis is a British scientist, author, photographer, and television presenter best known for popular science and history programs such as "Local Heroes" and "What the Romans Did for Us."
  • D. Mark Sutcliffe
    Mark Sutcliffe is a Canadian politician, former broadcaster, and entrepreneur who serves as the mayor of Ottawa.
  • E. John Tordoff
    John Tordoff is a British actor known for his work in film, television, and theatre, including a role in the 1987 adaptation of "The Magic Toyshop."
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1033bb881908c3360b715bf13cf completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7008aeac08190887a7bf5703b69f4 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.