Triple

T15507659
Position Surface form Disambiguated ID Type / Status
Subject Rodney Bewes E379123 entity
Predicate educatedAt P5 FINISHED
Object RADA E255985 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: RADA | Statement: [Rodney Bewes, educatedAt, RADA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RADA
Context triple: [Rodney Bewes, educatedAt, RADA]
  • A. RADA chosen
    RADA (the Royal Academy of Dramatic Art) is a prestigious London drama school renowned for training many prominent stage and screen actors.
  • B. Ben Greet Academy of Acting
    The Ben Greet Academy of Acting was a British drama school associated with actor-manager Sir Ben Greet that trained stage performers, including notable alumna Jessica Tandy.
  • C. Richmond Drama School
    Richmond Drama School is a British performing arts institution known for training actors, including notable alumni such as Tom Hardy.
  • D. Redroofs Theatre School
    Redroofs Theatre School is a British performing arts school known for training young actors and entertainers, including acclaimed alumna Kate Winslet.
  • E. Mountview Academy of Theatre Arts
    Mountview Academy of Theatre Arts is a renowned London-based drama school specializing in professional training for actors and performers in theatre, film, and television.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366e472c819093472da2a49593c6 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.