Triple

T14376214
Position Surface form Disambiguated ID Type / Status
Subject true E356480 entity
Predicate offersChannel P9404 FINISHED
Object Sky Comedy E72557 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: Sky Comedy | Statement: [true, offersChannel, Sky Comedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Comedy
Context triple: [true, offersChannel, Sky Comedy]
  • A. Sky Comedy chosen
    Sky Comedy is a British pay television channel from Sky that focuses on airing comedy series, stand-up specials, and related entertainment.
  • B. Black Comedy
    Black Comedy is an Australian sketch comedy television series that satirically explores Aboriginal and Torres Strait Islander experiences and culture.
  • C. Best Comedy
    Best Comedy is a category of the German Goldene Kamera awards that honors outstanding achievements in comedic television or film.
  • D. Keystone comedies
    Keystone comedies were a series of early 20th-century American silent film comedies produced by Keystone Studios, famous for their slapstick humor and for launching the career of Charlie Chaplin.
  • E. Slapstick
    Slapstick is a 1976 science fiction novel by Kurt Vonnegut that satirically explores themes of loneliness, family, and the absurdity of modern civilization.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.