Triple

T3389055
Position Surface form Disambiguated ID Type / Status
Subject BBC Four E71372 entity
Predicate sisterChannel P5818 FINISHED
Object CBeebies E71373 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: CBeebies | Statement: [BBC Four, sisterChannel, CBeebies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBeebies
Context triple: [BBC Four, sisterChannel, CBeebies]
  • A. CBeebies chosen
    CBeebies is a BBC television channel in the UK dedicated to educational and entertaining programming for preschool-aged children.
  • B. CBBC
    CBBC is the BBC’s dedicated television channel for children, offering a wide range of entertainment, educational, and drama programming primarily aimed at viewers aged 6 to 12.
  • C. CITV
    CITV is a British children's television channel and programming block operated by ITV, featuring a wide range of kids' shows and animated series.
  • D. ABC Kids World
    ABC Kids World is a children's themed area within the Dreamworld amusement park in Australia, featuring attractions and entertainment based on ABC Kids television characters and programs.
  • E. CBC Kids
    CBC Kids is the Canadian Broadcasting Corporation’s children’s programming brand, offering educational and entertaining content for young audiences across TV and digital platforms.
  • 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_69b35462c69481909700f01bacdac3e1 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:14 p.m.