Triple

T3471864
Position Surface form Disambiguated ID Type / Status
Subject Berkhamsted E73278 entity
Predicate hasAmenity P105 FINISHED
Object Rex Cinema
Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
 E361403 NE FINISHED

How this triple was built (4 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: Rex Cinema | Statement: [Berkhamsted, hasAmenity, Rex Cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rex Cinema
Context triple: [Berkhamsted, hasAmenity, Rex Cinema]
  • A. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • B. Rave Cinemas
    Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
  • C. Cape Cinema
    Cape Cinema is a historic independent movie theater and cultural venue in Dennis, Massachusetts, known for its distinctive architecture and artistic programming.
  • D. Ikspiari Cinema Complex
    Ikspiari Cinema Complex is a multi-screen movie theater located within the Ikspiari shopping and entertainment district at Tokyo Disney Resort in Japan.
  • E. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rex Cinema
Triple: [Berkhamsted, hasAmenity, Rex Cinema]
Generated description
Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rex Cinema
Target entity description: Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • A. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • B. Rave Cinemas
    Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
  • C. Cape Cinema
    Cape Cinema is a historic independent movie theater and cultural venue in Dennis, Massachusetts, known for its distinctive architecture and artistic programming.
  • D. Ikspiari Cinema Complex
    Ikspiari Cinema Complex is a multi-screen movie theater located within the Ikspiari shopping and entertainment district at Tokyo Disney Resort in Japan.
  • E. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • F. None of above. chosen

Provenance (5 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36810958c81908982e0ef996dc480 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b4e504819094ca0adbdbe7bfd9 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693a8d6481909dadce4ac6109ff3 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.