Triple

T11621333
Position Surface form Disambiguated ID Type / Status
Subject MTV Networks E275643 entity
Predicate operatedChannel P61714 FINISHED
Object TV Land E184625 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: TV Land | Statement: [MTV Networks, operatedChannel, TV Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Land
Context triple: [MTV Networks, operatedChannel, TV Land]
  • A. TV Land chosen
    TV Land is an American cable television network known for airing classic television series and original sitcoms aimed primarily at adult audiences.
  • B. Nick at Nite
    Nick at Nite is an American nighttime programming block known for airing classic and syndicated sitcoms on the Nickelodeon channel.
  • C. MeTV
    MeTV is an American broadcast television network specializing in classic television programming from the 1950s through the 1990s.
  • D. TV One
    TV One is an American cable television network that primarily targets African American audiences with a mix of original series, movies, and lifestyle programming.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee874fe11c81908b9d3a996bcc51d2 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:39 p.m.