Triple

T8088230
Position Surface form Disambiguated ID Type / Status
Subject Irvine Spectrum Center E188788 entity
Predicate hasAttraction P105 FINISHED
Object Regal movie theater E52532 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: Regal movie theater | Statement: [Irvine Spectrum Center, hasAttraction, Regal movie theater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regal movie theater
Context triple: [Irvine Spectrum Center, hasAttraction, Regal movie theater]
  • A. Regal Cinemas chosen
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • B. Rex Cinema
    Rex Cinema is a historic, art deco-style independent movie theater and cultural landmark located in Berkhamsted, England.
  • C. Olympion Cinema
    Olympion Cinema is a historic movie theater and cultural landmark in Thessaloniki, Greece, best known for hosting the city’s prestigious international film festival.
  • D. Capitol Cinema
    Capitol Cinema is a historic movie theater located within Madrid’s iconic Edificio Carrión on Gran Vía, known for its Art Deco architecture and cultural significance.
  • E. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421c717c819089dd88c30a6401aa completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6406395c8190ad8db69c878ce9b8 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.