Triple

T20793649
Position Surface form Disambiguated ID Type / Status
Subject Hermione Norris E511844 entity
Predicate employer P7 FINISHED
Object Sky One E72957 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: Sky One | Statement: [Hermione Norris, employer, Sky One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky One
Context triple: [Hermione Norris, employer, Sky One]
  • A. Sky One (former) chosen
    Sky One (former) was a long-running British pay television channel known for airing a mix of US imports, original UK entertainment, and drama series as part of the Sky network in the UK and Ireland.
  • B. 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.
  • C. North One Television
    North One Television is a British television production company known for creating popular factual, entertainment, and sports programming for major UK broadcasters.
  • D. Anglia Television
    Anglia Television is a British regional television broadcaster best known for serving the East of England as part of the ITV network.
  • 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 (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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2aadd7081908c6343821e8c655c completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8be96c88190ac0e4385260f1960 completed May 16, 2026, 11:07 p.m.
Created at: April 16, 2026, 12:39 p.m.