Triple

T13788146
Position Surface form Disambiguated ID Type / Status
Subject WindTunnel with Dave Despain E331319 entity
Predicate productionCompany P490 FINISHED
Object Speed Channel E65848 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: Speed Channel | Statement: [WindTunnel with Dave Despain, productionCompany, Speed Channel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speed Channel
Context triple: [WindTunnel with Dave Despain, productionCompany, Speed Channel]
  • A. Speed Channel chosen
    Speed Channel was a U.S. cable television network devoted primarily to motorsports and automotive programming.
  • B. Metro Channel
    Metro Channel is a Philippine lifestyle and entertainment cable television network known for programs on travel, food, fashion, and culture.
  • C. Super Channel
    Super Channel is a Canadian premium television network known for broadcasting a mix of original series, films, and international programming.
  • D. Star Channel
    Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
  • E. Sky Channel
    Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0249e4f88190a80316394940627d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b8689c8190b3ef7416000ef89e completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 10:11 p.m.