Triple

T19983713
Position Surface form Disambiguated ID Type / Status
Subject Robert Galbraith E493881 entity
Predicate adaptationNetwork P2594 FINISHED
Object BBC One 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 One | Statement: [Robert Galbraith, adaptationNetwork, BBC One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC One
Context triple: [Robert Galbraith, adaptationNetwork, 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. CBC Television
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • D. 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.
  • E. BBC
    BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d157d088190af861608936e59b7 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.