Triple

T20386857
Position Surface form Disambiguated ID Type / Status
Subject Run Fatboy Run E497981 entity
Predicate distributedBy P1951 FINISHED
Object Picturehouse 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: Picturehouse | Statement: [Run Fatboy Run, distributedBy, Picturehouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picturehouse
Context triple: [Run Fatboy Run, distributedBy, Picturehouse]
  • A. Picturehouse
    Picturehouse is a UK-based chain of boutique cinemas known for screening independent, arthouse, and mainstream films in distinctive, community-focused venues.
  • B. Picturehouse chosen
    Picturehouse is an American film distribution company known for releasing independent and specialty films.
  • C. Wellhouse
    Wellhouse is a small village in the Colne Valley area of West Yorkshire, England.
  • D. Mouse House
    Mouse House is a Bronx Zoo exhibit dedicated to showcasing a diverse collection of small rodents and other tiny mammals in naturalistic habitats.
  • E. Clock House
    Clock House is a suburban railway station in the London Borough of Bromley that provides local commuter services into central London.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.