Triple

T15059344
Position Surface form Disambiguated ID Type / Status
Subject Craig Charles E379582 entity
Predicate employer P7 FINISHED
Object BBC Radio 6 Music E272215 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 6 Music | Statement: [Craig Charles, employer, BBC Radio 6 Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 6 Music
Context triple: [Craig Charles, employer, BBC Radio 6 Music]
  • A. BBC Radio 6 Music chosen
    BBC Radio 6 Music is a digital radio station from the BBC known for its eclectic mix of alternative, indie, and specialist music programming.
  • B. BBC Radio and Music
    BBC Radio and Music is the BBC division responsible for overseeing the corporation’s UK radio stations and music-related content and strategy.
  • C. BBC Radio 1
    BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented programming.
  • D. 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.
  • E. BBC Radio 2
    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.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c2fcec8190800d1bda82c7352e completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.