Triple

T6709088
Position Surface form Disambiguated ID Type / Status
Subject Regal Entertainment Group E153083 entity
Predicate brand P1500 FINISHED
Object Regal Cinemas 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 Cinemas | Statement: [Regal Entertainment Group, brand, Regal Cinemas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regal Cinemas
Context triple: [Regal Entertainment Group, brand, Regal Cinemas]
  • A. Regal Cinemas chosen
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • B. Regency Theatres
    Regency Theatres is a regional movie theater chain in the United States known for operating neighborhood cinemas and historic venues like the Fox Village Theatre.
  • C. Cinemark Theatres
    Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
  • 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. Arclight Cinemas
    Arclight Cinemas was a premium movie theater chain based in Los Angeles, known for its upscale amenities, reserved seating, and operation of the iconic Cinerama Dome.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d105b49c8190932246a727e2c513 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7008e6b308190a3d5db2bf4a469c4 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.