Triple

T14847915
Position Surface form Disambiguated ID Type / Status
Subject Charles Chilton E349147 entity
Predicate employer P7 FINISHED
Object BBC Radio E275295 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 | Statement: [Charles Chilton, employer, BBC Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio
Context triple: [Charles Chilton, employer, BBC Radio]
  • A. BBC Radio chosen
    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.
  • 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 1
    BBC Radio 1 is a major UK national radio station focused on contemporary popular music and youth-oriented 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded29236dc8190b7d3a37d09f9fb21 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6502d3f081909ff6fa8722769e2e completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.