Triple
T6218676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnot Mall |
E139054
|
entity |
| Predicate | hasCinemaOperator |
P68966
|
FINISHED |
| Object | Regal Cinemas |
E52532
|
NE FINISHED |
How this triple was built (3 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: [Arnot Mall, hasCinemaOperator, Regal Cinemas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regal Cinemas Context triple: [Arnot Mall, hasCinemaOperator, 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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCinemaOperator Context triple: [Arnot Mall, hasCinemaOperator, Regal Cinemas]
-
A.
hasParkOperator
Indicates that a park is operated or managed by a specific organization or individual.
-
B.
hasNumberOfCinemas
Indicates the quantity of cinemas associated with a given entity.
-
C.
hasTicketHall
Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
-
D.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
-
E.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
- F. None of above. chosen
Provenance (5 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a481908190a1418d9fcfaf8137 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243e998e0819090a2162e2a0ab7b9 |
completed | March 24, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:21 p.m.