Multiplex Cinemas
E567707
Multiplex Cinemas is a chain of movie theaters operated under the National Amusements, Inc. entertainment and cinema portfolio.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Multiplex Cinemas canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T6068785 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multiplex Cinemas Context triple: [National Amusements, Inc., owns, Multiplex Cinemas]
-
A.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
B.
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.
-
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.
Cinema City
Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Multiplex Cinemas Target entity description: Multiplex Cinemas is a chain of movie theaters operated under the National Amusements, Inc. entertainment and cinema portfolio.
-
A.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
B.
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.
-
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.
Cinema City
Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
cinema brand
ⓘ
movie theater chain ⓘ |
| brandOwner | National Amusements, Inc. ⓘ |
| businessModel | multiplex cinema ⓘ |
| category |
cinema chain
ⓘ
theater chain ⓘ |
| hasParentCompany | National Amusements, Inc. ⓘ |
| hasProduct |
cinema concessions
ⓘ
movie screenings ⓘ |
| hasService |
auditorium seating for films
ⓘ
in-theater concessions ⓘ public film screenings ⓘ |
| industry |
entertainment
ⓘ
motion picture exhibition ⓘ |
| isBrandOf | National Amusements, Inc. ⓘ |
| offers |
feature film exhibitions
ⓘ
multiple-screen theaters ⓘ |
| operatedBy | National Amusements, Inc. ⓘ |
| operatesInSector | cinema exhibition ⓘ |
| partOf | National Amusements, Inc. entertainment and cinema portfolio ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Multiplex Cinemas Description of subject: Multiplex Cinemas is a chain of movie theaters operated under the National Amusements, Inc. entertainment and cinema portfolio.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.