Triple

T17128706
Position Surface form Disambiguated ID Type / Status
Subject Chris Neill E415665 entity
Predicate employer P7 FINISHED
Object BBC Radio 4 E12973 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 4 | Statement: [Chris Neill, employer, BBC Radio 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio 4
Context triple: [Chris Neill, employer, BBC Radio 4]
  • A. BBC Radio 4 chosen
    BBC Radio 4 is a major British national radio station known for its spoken-word programming, including news, drama, comedy, and documentaries.
  • B. Ràdio 4
    Ràdio 4 is a Catalan-language public radio station based in Catalonia and operated by Spain’s national broadcaster RTVE.
  • C. 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.
  • D. BBC Radio 4 Extra
    BBC Radio 4 Extra is a British digital radio station from the BBC that specializes in archived comedy, drama, and entertainment 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0285a408190ae5e4c4679c07fbf completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016741fe6c81908ebbb022749915ab completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:36 a.m.