Triple

T18829795
Position Surface form Disambiguated ID Type / Status
Subject Georgina Ferry E460492 entity
Predicate hasWrittenFor P11775 FINISHED
Object BBC Radio NE NERFINISHED

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: [Georgina Ferry, hasWrittenFor, BBC Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Radio
Context triple: [Georgina Ferry, hasWrittenFor, 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 WM
    BBC Radio WM is a local radio station serving Birmingham and the wider West Midlands with news, talk, and music programming as part of the BBC’s regional network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9981be88190b709c0e72ad3f7e6 completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.