Kono
E33223
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Kono canonical | 4 |
| Kōno | 3 |
| Kono Statement | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T208463 — 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: Kono Context triple: [Taro Kono, familyName, Kono]
-
A.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
B.
Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station 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: Kono Target entity description: Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
A.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
B.
Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
Japanese politician
ⓘ
Japanese surname ⓘ |
| countryOfCitizenship | Japan ⓘ |
| familyName | Kono ⓘ |
| givenName | Taro ⓘ |
| hasNotablePersonWithSurname | Taro Kono ⓘ |
| languageOfOrigin | Japanese ⓘ |
| memberOfPoliticalParty |
Liberal Democratic Party of Japan
ⓘ
linked to:
Liberal Democratic Party
|
| nativeLanguage | Japanese ⓘ |
| notableBearer | Taro Kono ⓘ |
| notableFor | leading figure in contemporary Japanese politics ⓘ |
| occupation |
government minister
ⓘ
politician ⓘ |
| positionHeld |
Minister for Administrative Reform of Japan
ⓘ
Minister for Digital Transformation of Japan ⓘ Minister for Foreign Affairs of Japan ⓘ Minister for Regulatory Reform of Japan ⓘ Minister of Defense of Japan ⓘ |
| residence | Japan ⓘ |
| writingSystem | Kanji ⓘ |
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: Kono Description of subject: Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Taro Kono (as Minister for Foreign Affairs)
subject linked to:
Kono
linked to: Kono