Triple

T17826226
Position Surface form Disambiguated ID Type / Status
Subject Maidstone College of Art E445123 entity
Predicate hasNotableAlumni P51 FINISHED
Object Graham Crowley 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: Graham Crowley | Statement: [Maidstone College of Art, hasNotableAlumni, Graham Crowley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Crowley
Context triple: [Maidstone College of Art, hasNotableAlumni, Graham Crowley]
  • A. Graham Crowley chosen
    Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
  • B. Ian Graham
    Ian Graham was a prominent British Mayanist archaeologist and epigrapher known for his extensive documentation and study of ancient Maya sites and inscriptions.
  • C. Graham Walters
    Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
  • D. Graham Rogers
    Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
  • E. Graham Roland
    Graham Roland is an American television writer and producer known for developing and writing action and thriller series, including co-creating the Tom Clancy adaptation "Jack Ryan."
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914e20481908883d1da194f446c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.