Triple

T12854353
Position Surface form Disambiguated ID Type / Status
Subject ArcLight Hollywood E307409 entity
Predicate brand P1500 FINISHED
Object ArcLight Cinemas E62738 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: ArcLight Cinemas | Statement: [ArcLight Hollywood, brand, ArcLight Cinemas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ArcLight Cinemas
Context triple: [ArcLight Hollywood, brand, ArcLight Cinemas]
  • A. Arclight Cinemas chosen
    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.
  • B. Regal Cinemas
    Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
  • C. 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.
  • D. Cinemark Theatres
    Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
  • E. 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.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fefabc8081908e46ffcaef22cce1 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 5:37 p.m.