Triple

T21027779
Position Surface form Disambiguated ID Type / Status
Subject Nick Caistor E517983 entity
Predicate employer P7 FINISHED
Object BBC World Service 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 World Service | Statement: [Nick Caistor, employer, BBC World Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC World Service
Context triple: [Nick Caistor, employer, BBC World Service]
  • A. BBC World Service chosen
    BBC World Service is the BBC’s international broadcaster, providing global news, analysis, and cultural programming in multiple languages to audiences around the world.
  • B. BBC World News
    BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
  • 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 SO
    BBC SO is the commonly used abbreviation for the BBC Symphony Orchestra, a leading British broadcast and concert orchestra based in London.
  • E. BBC
    The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc7d93908190a2c29a4051fb5acc completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:55 p.m.