Triple

T12278408
Position Surface form Disambiguated ID Type / Status
Subject Icon Award E292651 entity
Predicate organizer P123 FINISHED
Object TV Land 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 network | Statement: [Icon Award, organizer, TV Land network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Land network
Context triple: [Icon Award, organizer, TV Land 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. CW Network
    The CW Network is an American broadcast television network known for airing youth-oriented series, superhero shows, and teen dramas.
  • C. ABC Family
    ABC Family was a U.S. cable television network known for family-oriented and teen-focused original series and movies, later rebranded as Freeform.
  • D. 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.
  • E. USA Network
    USA Network is an American basic cable television channel known for its original drama series, syndicated programming, and broad mainstream entertainment.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63464486c819085452675a43785b1 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.