Triple

T23517837
Position Surface form Disambiguated ID Type / Status
Subject Talkback E574416 entity
Predicate parentCompany P254 FINISHED
Object Pearson Television 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: Pearson Television | Statement: [Talkback, parentCompany, Pearson Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearson Television
Context triple: [Talkback, parentCompany, Pearson Television]
  • A. Pearson Television chosen
    Pearson Television was a major international television production and distribution company that later became part of FremantleMedia (now Fremantle).
  • B. Anglia Television
    Anglia Television is a British regional television broadcaster best known for serving the East of England as part of the ITV network.
  • 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. Tyne Tees Television
    Tyne Tees Television is a regional ITV broadcaster in North East England, known for providing local news, entertainment, and network programming.
  • E. Thames Television
    Thames Television was a major British ITV franchise holder that produced and broadcast a wide range of popular television programs, particularly in London, from the late 1960s to the early 1990s.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa83c538819096bc548e3e0ddbd0 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.