Triple

T20212841
Position Surface form Disambiguated ID Type / Status
Subject Violet Berlin E493532 entity
Predicate employer P7 FINISHED
Object Channel 4 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: Channel 4 | Statement: [Violet Berlin, employer, Channel 4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 4
Context triple: [Violet Berlin, employer, Channel 4]
  • A. Channel 4
    Channel 4 is the on-air brand used by Pittsburgh television station WTAE-TV, an ABC-affiliated local broadcast outlet.
  • B. Channel 4 chosen
    Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
  • C. Channel 4 streaming service
    Channel 4 streaming service is the UK broadcaster’s online platform for watching live TV and on-demand programmes from Channel 4 and its associated channels.
  • 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. CBC Television
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed6fe888190b553ba6879cb2d8d completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.