Triple

T22945270
Position Surface form Disambiguated ID Type / Status
Subject Mack Sennett Studios E569849 entity
Predicate associatedWith P37 FINISHED
Object Keystone Studios NE NERFINISHED

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: Keystone Studios | Statement: [Mack Sennett Studios, associatedWith, Keystone Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keystone Studios
Context triple: [Mack Sennett Studios, associatedWith, Keystone Studios]
  • A. Keystone Studios chosen
    Keystone Studios was an early 20th-century American film studio famous for its slapstick comedies and for launching Charlie Chaplin’s screen career.
  • B. Keystone Pictures
    Keystone Pictures is a film production company best known for producing the family sports comedy movie "Air Bud."
  • C. Skyline Studios
    Skyline Studios is a professional recording studio known for hosting music production and album recording sessions.
  • D. Annapurna Studios
    Annapurna Studios is a prominent Indian film production and post-production company based in Hyderabad, widely recognized for its role in shaping Telugu cinema.
  • E. Sky Studios
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819c696c8190977bd2bca01509bc completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.