Triple

T12278390
Position Surface form Disambiguated ID Type / Status
Subject Icon Award E292651 entity
Predicate presentedBy P83 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: [Icon Award, presentedBy, TV Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Land
Context triple: [Icon Award, presentedBy, 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_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_69f62a959e7c8190a005f20728cb71e0 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.