Triple

T6025656
Position Surface form Disambiguated ID Type / Status
Subject Jill Sinclair E134172 entity
Predicate coFounded P104 FINISHED
Object Sarm Studios E34868 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: Sarm Studios | Statement: [Jill Sinclair, coFounded, Sarm Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarm Studios
Context triple: [Jill Sinclair, coFounded, Sarm Studios]
  • A. Sarm Studios chosen
    Sarm Studios is a renowned London recording studio complex closely associated with major pop and rock productions since the late 20th century.
  • 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. Paint Hall Studios
    Paint Hall Studios is a major film and television production facility in Belfast, Northern Ireland, best known for hosting large-scale productions such as HBO’s Game of Thrones.
  • D. Revue Studios
    Revue Studios was a mid-20th-century American television production company best known for creating and distributing numerous popular TV series during the 1950s and 1960s.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11375b4448190ad3087b21ac67329 completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.