Triple

T3389093
Position Surface form Disambiguated ID Type / Status
Subject CBeebies E71373 entity
Predicate sisterChannel P5818 FINISHED
Object BBC Four E71372 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 Four | Statement: [CBeebies, sisterChannel, BBC Four]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Four
Context triple: [CBeebies, sisterChannel, BBC Four]
  • A. BBC Four chosen
    BBC Four is a British television channel from the BBC known for its highbrow programming, including arts, culture, documentaries, and international films and dramas.
  • 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 One
    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.
  • D. Channel 4
    Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
  • E. BBC Three
    BBC Three is a British television channel from the BBC that focuses on younger audiences with a mix of comedy, drama, and documentary 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb666e514819090560d43bfaf55b8 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345a95ac819098be25233b8e0ed5 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.