Triple

T5138813
Position Surface form Disambiguated ID Type / Status
Subject Danny Baker E115894 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: [Danny Baker, employer, BBC Radio 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 2
Context triple: [Danny Baker, 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787acd18819087f09db885893c3e completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d342c8819088f67c01d3769a6d completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.