Triple

T120014
Position Surface form Disambiguated ID Type / Status
Subject Doctor Who E2424 entity
Predicate originalNetwork P2594 FINISHED
Object BBC One E13555 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 One | Statement: [Doctor Who, originalNetwork, BBC One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC One
Context triple: [Doctor Who, originalNetwork, BBC One]
  • A. BBC One chosen
    BBC One is the BBC’s flagship television channel in the United Kingdom, known for broadcasting a wide range of popular news, drama, comedy, and entertainment programs.
  • B. BBC Two
    BBC Two is a British television channel operated by the BBC, known for its diverse and often more experimental programming, including comedy, drama, documentaries, and arts content.
  • C. 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.
  • D. BBC Alba
    BBC Alba is a Scottish Gaelic-language television channel operated by the BBC that broadcasts a mix of news, sports, and cultural programming.
  • E. 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.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25715cfb881909ffb488f21a4a16d completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa453a8c81908d6d4d14aff8522e completed Feb. 28, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.