Triple

T3440804
Position Surface form Disambiguated ID Type / Status
Subject Sky Crime E72558 entity
Predicate hasProgrammingFrom P48294 FINISHED
Object Sky Studios E331114 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 Studios | Statement: [Sky Crime, hasProgrammingFrom, Sky Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky Studios
Context triple: [Sky Crime, hasProgrammingFrom, Sky Studios]
  • A. Sky Studios chosen
    Sky Studios is the original programming and production arm of European broadcaster Sky, known for creating high-profile television series and films across drama, comedy, and other genres.
  • B. Bron Studios
    Bron Studios is a Canadian film and television production company known for financing and producing a range of high-profile, award-winning Hollywood projects.
  • C. Nemo Studios
    Nemo Studios was Vangelis’s personal London recording studio, renowned as the creative hub where he produced many of his influential electronic and film music works.
  • D. Keystone Studios
    Keystone Studios was an early 20th-century American film studio famous for its slapstick comedies and for launching Charlie Chaplin’s screen career.
  • E. Trilith Studios
    Trilith Studios is a major film and television production complex in Georgia known for hosting large-scale projects, including many Marvel Cinematic Universe movies.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f833e88190b5e813f115621a5f completed March 8, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3548598088190907e13c88cb975fc completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.