Triple

T8440322
Position Surface form Disambiguated ID Type / Status
Subject Paul O’Grady E199334 entity
Predicate employer P7 FINISHED
Object BBC Radio 2 E77718 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: BBC Radio 2 | Statement: [Paul O’Grady, employer, BBC Radio 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 2
Context triple: [Paul O’Grady, employer, BBC Radio 2]
  • A. BBC Radio 2 chosen
    BBC Radio 2 is a major UK national radio station known for its broad mix of popular music, entertainment, and speech programming aimed primarily at adult listeners.
  • B. BBC Radio 1
    BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented programming.
  • C. CBC Radio 2
    CBC Radio 2 is a Canadian public radio network operated by the Canadian Broadcasting Corporation, known for its focus on music and cultural programming.
  • D. BBC Radio
    BBC Radio is the British Broadcasting Corporation’s portfolio of national and local radio stations in the United Kingdom, covering a wide range of music, speech, news, and cultural programming.
  • E. BBC Radio 3
    BBC Radio 3 is a British national radio station operated by the BBC, best known for its focus on classical music, opera, jazz, and arts programming.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.