Triple

T15048778
Position Surface form Disambiguated ID Type / Status
Subject Mall of Georgia E379298 entity
Predicate hasAnchorTenant P11754 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: [Mall of Georgia, hasAnchorTenant, Regal Cinemas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regal Cinemas
Context triple: [Mall of Georgia, hasAnchorTenant, 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b96ae08190b15873634b67e8d9 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3 a.m.