Triple

T3423322
Position Surface form Disambiguated ID Type / Status
Subject Cinema de Lux E72164 entity
Predicate parentBrand P6092 FINISHED
Object Showcase Cinemas E357957 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: Showcase Cinemas | Statement: [Cinema de Lux, parentBrand, Showcase Cinemas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Showcase Cinemas
Context triple: [Cinema de Lux, parentBrand, Showcase Cinemas]
  • A. Showcase Cinemas chosen
    Showcase Cinemas is a major cinema chain known for operating multiplex movie theaters, including its premium Cinema de Lux locations.
  • B. Cinema City
    Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
  • C. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • D. Marcus Theatres
    Marcus Theatres is a major American movie theater chain known for operating multiplex cinemas across the Midwest and other regions of the United States.
  • E. Rave Cinemas
    Rave Cinemas is a movie theater chain in the United States that operates multiplex cinemas for mainstream film releases.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9533b588190a18a9b6495712ee0 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c789b48190807bddf1a3bf8d2e completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:15 p.m.