Triple

T17353345
Position Surface form Disambiguated ID Type / Status
Subject Aventura Mall E421866 entity
Predicate hasAnchorTenant P11754 FINISHED
Object AMC Theatres NE ONNED1

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: AMC Theatres | Statement: [Aventura Mall, hasAnchorTenant, AMC Theatres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMC Theatres
Context triple: [Aventura Mall, hasAnchorTenant, AMC Theatres]
  • A. AMC Theatres chosen
    AMC Theatres is one of the largest movie theater chains in the world, operating multiplex cinemas across the United States and internationally.
  • B. Cinemark Theatres
    Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
  • C. United Cinemas
    United Cinemas is a Japanese movie theater chain operating multiplex cinemas in various locations, including major shopping and entertainment complexes.
  • 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. Nimax Theatres
    Nimax Theatres is a London-based theatre operating company that owns and manages several prominent West End venues.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2e660c81908700aed5c42e9043 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955a50dc819090c1a0ec111d9fc0 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.