Sakata
E674242
Sakata is a Japanese surname borne by various notable individuals in fields such as physics, sports, and entertainment.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sakata canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6618175 — 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: Sakata Context triple: [Shoichi Sakata, familyName, Sakata]
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
C.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
D.
Saito
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
-
E.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
- 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: Sakata Target entity description: Sakata is a Japanese surname borne by various notable individuals in fields such as physics, sports, and entertainment.
-
A.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
-
B.
Sakae
Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
-
C.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
D.
Saito
Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
-
E.
Nishiwaki
Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
Japanese-language surname
ⓘ
family name ⓘ fictional character ⓘ person ⓘ |
| appearsInWork |
Gintama
NERFINISHED
ⓘ
Japanese folklore ⓘ |
| awardReceived | Order of Culture NERFINISHED ⓘ |
| basedOn | Kintaro NERFINISHED ⓘ |
| countryOfCitizenship |
Japan
ⓘ
Japan ⓘ Japan ⓘ Japan ⓘ |
| creator | Hideaki Sorachi NERFINISHED ⓘ |
| employer | Nagoya University NERFINISHED ⓘ |
| familyName |
Sakata
NERFINISHED
ⓘ
Sakata NERFINISHED ⓘ Sakata NERFINISHED ⓘ Sakata NERFINISHED ⓘ Sakata NERFINISHED ⓘ Sakata NERFINISHED ⓘ Sakata NERFINISHED ⓘ |
| fieldOfWork | particle physics ⓘ |
| genre | shonen manga ⓘ |
| givenName |
Eio
NERFINISHED
ⓘ
Gintoki NERFINISHED ⓘ Masahiro NERFINISHED ⓘ Shoichi NERFINISHED ⓘ |
| hasNotableBearer |
Sakata Eio
NERFINISHED
ⓘ
Sakata Gintoki NERFINISHED ⓘ Sakata Kintoki NERFINISHED ⓘ Sakata Masahiro NERFINISHED ⓘ Sakata Shoichi NERFINISHED ⓘ Sakata Shōgo NERFINISHED ⓘ Sakata Tōjūrō NERFINISHED ⓘ |
| languageOfOrigin | Japanese ⓘ |
| memberOf | Japan Academy NERFINISHED ⓘ |
| notableWork | Nagoya model ⓘ |
| occupation |
footballer
ⓘ
kabuki actor ⓘ professional Go player ⓘ professional baseball player ⓘ theoretical physicist ⓘ yorozuya freelancer ⓘ |
| rank | 9-dan professional ⓘ |
| sport |
Go
ⓘ
association football ⓘ baseball ⓘ |
| titleHeld |
Honinbo
NERFINISHED
ⓘ
Judan NERFINISHED ⓘ Meijin NERFINISHED ⓘ |
| usedInCountry | 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: Sakata Description of subject: Sakata is a Japanese surname borne by various notable individuals in fields such as physics, sports, and entertainment.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.