Triple

T2732590
Position Surface form Disambiguated ID Type / Status
Subject TV Land Award E60348 entity
Predicate presentedBy P83 FINISHED
Object TV Land cable network 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 cable network | Statement: [TV Land Award, presentedBy, TV Land cable network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Land cable network
Context triple: [TV Land Award, presentedBy, TV Land cable network]
  • 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. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • C. Paramount Network
    Paramount Network is an American cable television channel owned by Paramount Global, known for airing original scripted series, reality shows, and feature films.
  • D. ThisTV Network
    ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television series.
  • E. Nine Network
    Nine Network is a major Australian commercial television network known for broadcasting popular news, sports, and entertainment programming nationwide.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaf011548190beb9c3feee7b743f completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc430ec8190a54f805cd0067b97 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.