Triple

T13992724
Position Surface form Disambiguated ID Type / Status
Subject Oksana Astankova E336620 entity
Predicate network P2637 FINISHED
Object BBC Three E70971 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 Three | Statement: [Oksana Astankova, network, BBC Three]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Three
Context triple: [Oksana Astankova, network, BBC Three]
  • A. BBC Three chosen
    BBC Three is a British television channel from the BBC that focuses on younger audiences with a mix of comedy, drama, and documentary programming.
  • B. 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.
  • C. BBC Four
    BBC Four is a British television channel from the BBC known for its highbrow programming, including arts, culture, documentaries, and international films and dramas.
  • D. BBC Red Button
    BBC Red Button is the BBC’s interactive digital television service that provides additional content, such as news, sports, and entertainment, accessible via the red button on remote controls.
  • E. Radio 3
    Radio 3 is a Spanish public radio station known for its focus on alternative music, culture, and the arts, and is part of the RTVE broadcasting group.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd323e89948190bb280e93e2058c0a completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:19 p.m.