Toru in Bullet Train (2022 film)
E411599
Toru in Bullet Train (2022 film) is a key character portrayed by Hiroyuki Sanada, serving as a seasoned, vengeful crime boss whose actions drive much of the film’s central conflict.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Toru in Bullet Train (2022 film) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4083246 — 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: Toru in Bullet Train (2022 film) Context triple: [Hiroyuki Sanada, notableRole, Toru in Bullet Train (2022 film)]
-
A.
Shinya
Shinya is a Japanese given name commonly used for males.
-
B.
Ronin
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
-
C.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
D.
Ninja
Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
-
E.
Shiki, Saitama
Shiki, Saitama is a city in Saitama Prefecture, Japan, known as a residential suburb within the Greater Tokyo metropolitan area.
- 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: Toru in Bullet Train (2022 film) Target entity description: Toru in Bullet Train (2022 film) is a key character portrayed by Hiroyuki Sanada, serving as a seasoned, vengeful crime boss whose actions drive much of the film’s central conflict.
-
A.
Shinya
Shinya is a Japanese given name commonly used for males.
-
B.
Ronin
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
-
C.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
-
D.
Ninja
Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
-
E.
Shiki, Saitama
Shiki, Saitama is a city in Saitama Prefecture, Japan, known as a residential suburb within the Greater Tokyo metropolitan area.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| alignment | antihero ⓘ |
| appearsAlongside |
Ladybug
ⓘ
Lemon ⓘ Tangerine ⓘ The Prince ⓘ White Death ⓘ
surface form:
The White Death
|
| appearsIn | Bullet Train (2022 film) ⓘ |
| associatedWith | Japanese criminal underworld ⓘ |
| basedOn | Bullet Train (novel) by Kōtarō Isaka ⓘ |
| countryOfOrigin | Japan ⓘ |
| distributorOfWork | Sony Pictures Releasing ⓘ |
| genreOfWorkAppearsIn |
action film
ⓘ
thriller film ⓘ |
| hasTrait |
seasoned
ⓘ
vengeful ⓘ |
| inUniverseStatus | powerful crime figure ⓘ |
| languageSpoken | Japanese ⓘ |
| medium | live-action film ⓘ |
| motivation | revenge ⓘ |
| narrativeFunction | drives central conflict ⓘ |
| occupation | crime boss ⓘ |
| portrayedBy | Hiroyuki Sanada ⓘ |
| productionCompanyOfWork |
87North Productions
ⓘ
Columbia Pictures ⓘ |
| roleInWork | key character ⓘ |
| workDirector | David Leitch ⓘ |
| yearOfWork | 2022 ⓘ |
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: Toru in Bullet Train (2022 film) Description of subject: Toru in Bullet Train (2022 film) is a key character portrayed by Hiroyuki Sanada, serving as a seasoned, vengeful crime boss whose actions drive much of the film’s central conflict.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.