United Cinemas
E696041
United Cinemas is a Japanese movie theater chain operating multiplex cinemas in various locations, including major shopping and entertainment complexes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| United Cinemas canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7835314 — 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: United Cinemas Context triple: [Ikspiari, hasCinemaBrand, United Cinemas]
-
A.
Cinemark Theatres
Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
-
B.
AMC Theatres
AMC Theatres is one of the largest movie theater chains in the world, operating multiplex cinemas across the United States and internationally.
-
C.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
D.
Harkins Theatres
Harkins Theatres is a privately owned American movie theater chain based in the Southwestern United States, known for its multiplex cinemas and premium film presentation.
-
E.
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.
- 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: United Cinemas Target entity description: United Cinemas is a Japanese movie theater chain operating multiplex cinemas in various locations, including major shopping and entertainment complexes.
-
A.
Cinemark Theatres
Cinemark Theatres is a major American movie theater chain operating multiplex cinemas across the United States and in several Latin American countries.
-
B.
AMC Theatres
AMC Theatres is one of the largest movie theater chains in the world, operating multiplex cinemas across the United States and internationally.
-
C.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
-
D.
Harkins Theatres
Harkins Theatres is a privately owned American movie theater chain based in the Southwestern United States, known for its multiplex cinemas and premium film presentation.
-
E.
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.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
company
ⓘ
movie theater chain ⓘ |
| businessArea | theatrical film exhibition ⓘ |
| businessModel | movie theater chain ⓘ |
| country | Japan ⓘ |
| hasCustomerExperience | in-person movie viewing ⓘ |
| hasFeature |
multiple screens
ⓘ
multiplex format ⓘ |
| industry |
cinema exhibition
ⓘ
entertainment ⓘ |
| languageOfOperation | Japanese ⓘ |
| mediaTypeExhibited |
films
ⓘ
movies ⓘ |
| offers |
concessions
ⓘ
film screenings ⓘ |
| operates |
cinemas in entertainment districts
ⓘ
cinemas in major shopping centers ⓘ |
| operatesIn | Japan ⓘ |
| primaryActivity | operation of movie theaters ⓘ |
| sector |
film
ⓘ
leisure ⓘ |
| serviceType | multiplex cinemas ⓘ |
| targetMarket | cinema-goers in Japan ⓘ |
| typicalLocation |
entertainment complexes
ⓘ
shopping complexes ⓘ |
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: United Cinemas Description of subject: United Cinemas is a Japanese movie theater chain operating multiplex cinemas in various locations, including major shopping and entertainment complexes.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Ikspiari shopping complex