鈴木 善幸
E441873
鈴木 善幸 was a Japanese politician who served as Prime Minister of Japan from 1980 to 1982.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T4478938 — 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: 鈴木 善幸 Context triple: [Zenko Suzuki, nativeName, 鈴木 善幸]
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A.
枝野幸男
枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
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B.
森喜朗
森喜朗は、2000年から2001年まで内閣総理大臣を務めた日本の政治家です。
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C.
菅 義偉
菅 義偉 is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021, succeeding Shinzo Abe.
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D.
麻生太郎
麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
-
E.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
- 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: 鈴木 善幸 Target entity description: 鈴木 善幸 was a Japanese politician who served as Prime Minister of Japan from 1980 to 1982.
-
A.
枝野幸男
枝野幸男 is a Japanese politician who served as Chief Cabinet Secretary and later became the founding leader of the Constitutional Democratic Party of Japan.
-
B.
森喜朗
森喜朗は、2000年から2001年まで内閣総理大臣を務めた日本の政治家です。
-
C.
菅 義偉
菅 義偉 is a Japanese politician who served as the Prime Minister of Japan from 2020 to 2021, succeeding Shinzo Abe.
-
D.
麻生太郎
麻生太郎は、日本の自由民主党所属の政治家であり、第92代内閣総理大臣や副総理・財務大臣などを歴任した人物である。
-
E.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
人間
ⓘ
内閣総理大臣 ⓘ 日本の政治家 ⓘ |
| イデオロギー | 保守主義 ⓘ |
| ローマ字表記 | Zenko Suzuki NERFINISHED ⓘ |
| 内閣総理大臣就任年 | 1980年 ⓘ |
| 内閣総理大臣退任年 | 1982年 ⓘ |
| 出生地 | 日本・岩手県 ⓘ |
| 分野 | 政治 ⓘ |
| 前職（内閣総理大臣） | 大平正芳 NERFINISHED ⓘ |
| 名前 | 鈴木善幸 ⓘ |
| 国会議員種別 | 衆議院議員 ⓘ |
| 国籍 | 日本 NERFINISHED ⓘ |
| 在任期間 | 1980年から1982年 ⓘ |
| 役職 |
内閣総理大臣
ⓘ
衆議院議員 ⓘ |
| 後任（内閣総理大臣） | 中曽根康弘 NERFINISHED ⓘ |
| 所属組織 | 自由民主党 ⓘ |
| 所属院 | 衆議院 NERFINISHED ⓘ |
| 政党 | 自由民主党 ⓘ |
| 時代 | 昭和時代の政治家 ⓘ |
| 権力の座 | 日本の内閣 ⓘ |
| 活動分野 |
日本の内政
ⓘ
日本の外交 ⓘ |
| 活動国 | 日本 ⓘ |
| 職業 | 政治家 ⓘ |
| 肩書 | 元内閣総理大臣 ⓘ |
| 著名な役割 | 第70代内閣総理大臣 ⓘ |
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: 鈴木 善幸 Description of subject: 鈴木 善幸 was a Japanese politician who served as Prime Minister of Japan from 1980 to 1982.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.