Triple

T5476681
Position Surface form Disambiguated ID Type / Status
Subject Trinity Leeds E122970 entity
Predicate hasEntertainmentVenue P23473 FINISHED
Object Everyman Cinema E512374 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: Everyman Cinema | Statement: [Trinity Leeds, hasEntertainmentVenue, Everyman Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everyman Cinema
Context triple: [Trinity Leeds, hasEntertainmentVenue, Everyman Cinema]
  • A. Everyman Cinema (cinema) chosen
    Everyman Cinema is a boutique-style UK cinema chain known for its comfortable seating, premium food and drink service, and curated film selection.
  • B. The Film House
    The Film House is a film and television production company known for developing and producing screen content such as the project "Newsfront."
  • C. Sky Cinema
    Sky Cinema is a group of premium film channels and on-demand movie services operated by Sky in the UK and Ireland, offering a wide range of recent releases and classic films.
  • D. Cinema de Lux
    Cinema de Lux is a premium movie theater complex known for offering an upscale cinema experience with enhanced amenities and comfort.
  • E. Celandine Films
    Celandine Films is a film production company best known for producing the British comedy film "Monty Python’s The Meaning of Life."
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd923639bc81909a83dd4fcaa8c636 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf489d7f94819095af2fe23a0b35b9 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.