Triple

T8212932
Position Surface form Disambiguated ID Type / Status
Subject GB News E191864 entity
Predicate parentCompany P254 FINISHED
Object All Perspectives Ltd E718836 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: All Perspectives Ltd | Statement: [GB News, parentCompany, All Perspectives Ltd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Perspectives Ltd
Context triple: [GB News, parentCompany, All Perspectives Ltd]
  • A. All Perspectives Ltd chosen
    All Perspectives Ltd is the media company that owns and operates the British television news channel GB News.
  • B. The Visionary Company
    The Visionary Company is a major work of literary criticism by Harold Bloom that examines the development of English Romantic poetry and its central figures.
  • C. Perspecta
    Perspecta is a long-running, peer-reviewed architectural journal known for critical essays, theoretical explorations, and design discourse associated with the Yale School of Architecture.
  • D. T Cowie Ltd
    T Cowie Ltd was the original company that evolved into Arriva, a major European public transport operator.
  • E. Peregrine Productions
    Peregrine Productions is a film production company best known for its involvement in creating Stanley Kubrick’s 1980 horror classic "The Shining."
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76e07a1c8190b5d1ec2ef16966ad completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34c010b48190b564fd365a5304d1 completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:44 p.m.