Triple

T10478328
Position Surface form Disambiguated ID Type / Status
Subject Channel 5 E247103 entity
Predicate partOf P40 FINISHED
Object Channel 5 Broadcasting Ltd E247103 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: Channel 5 Broadcasting Ltd | Statement: [Channel 5, partOf, Channel 5 Broadcasting Ltd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channel 5 Broadcasting Ltd
Context triple: [Channel 5, partOf, Channel 5 Broadcasting Ltd]
  • A. Channel 5 chosen
    Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
  • B. Channel 5 News
    Channel 5 News is a fictional local television news station featured in the animated series "Family Guy."
  • C. Channel 4
    Channel 4 is the on-air brand used by Pittsburgh television station WTAE-TV, an ABC-affiliated local broadcast outlet.
  • D. Channel 4
    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.
  • E. 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.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509596a088190895199648ccf91a4 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc73991881909aa538fce1e05a7c completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:21 p.m.