Triple

T4391948
Position Surface form Disambiguated ID Type / Status
Subject Nicky Campbell E99383 entity
Predicate knownFor P22 FINISHED
Object BBC Radio 5 Live phone-in shows E77613 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 5 Live phone-in shows | Statement: [Nicky Campbell, knownFor, BBC Radio 5 Live phone-in shows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 5 Live phone-in shows
Context triple: [Nicky Campbell, knownFor, BBC Radio 5 Live phone-in shows]
  • A. BBC Radio 5 Live chosen
    BBC Radio 5 Live is a UK national radio station known for its live news, sport, and phone-in programming.
  • B. BBC Sounds
    BBC Sounds is the BBC’s digital audio platform offering live radio, music mixes, and podcasts across web and mobile apps.
  • C. BBC Radio 4
    BBC Radio 4 is a major British national radio station known for its spoken-word programming, including news, drama, comedy, and documentaries.
  • 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 7
    BBC Radio 7 was a British digital radio station specializing in comedy, drama, and entertainment programming from the BBC archives.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35285592881909fcdea225a655950 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e530428881908d125971263bd747 completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:19 p.m.