Triple

T5136716
Position Surface form Disambiguated ID Type / Status
Subject The Devil's Playground E115843 entity
Predicate distributor P1951 FINISHED
Object The Film House E491553 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: The Film House | Statement: [The Devil's Playground, distributor, The Film House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Film House
Context triple: [The Devil's Playground, distributor, The Film House]
  • A. The Film House chosen
    The Film House is a film and television production company known for developing and producing screen content such as the project "Newsfront."
  • B. Savoy Cinema
    Savoy Cinema is a historic and prominent movie theater in Dublin, Ireland, known as one of the city’s main venues for film premieres and screenings.
  • C. Cinema de Lux
    Cinema de Lux is a premium movie theater complex known for offering an upscale cinema experience with enhanced amenities and comfort.
  • D. Cape Cinema
    Cape Cinema is a historic independent movie theater and cultural venue in Dennis, Massachusetts, known for its distinctive architecture and artistic programming.
  • E. Queen’s Film Theatre
    Queen’s Film Theatre is an independent cinema in Belfast known for showcasing arthouse, international, and alternative films.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.