伊藤 整一
E441719
伊藤整一 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval administration.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 伊藤 整一 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4474349 — 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.
Target entity: 伊藤 整一 Context triple: [Seiichi Itō, nativeName, 伊藤 整一]
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A.
伊藤 博文
伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
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B.
伊藤 清
伊藤 清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
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C.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
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D.
山田 乙三
山田 乙三 was a Japanese general in the Imperial Japanese Army who played a significant role in military operations during the Second Sino-Japanese War and World War II.
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E.
加藤 友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: 伊藤 整一 Target entity description: 伊藤整一 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval administration.
-
A.
伊藤 博文
伊藤博文は、日本の初代内閣総理大臣を務め、明治憲法の制定に深く関与した明治時代の代表的な政治家・元老です。
-
B.
伊藤 清
伊藤 清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
-
C.
朝永振一郎
朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
-
D.
山田 乙三
山田 乙三 was a Japanese general in the Imperial Japanese Army who played a significant role in military operations during the Second Sino-Japanese War and World War II.
-
E.
加藤 友三郎
加藤友三郎 was a Japanese admiral and statesman who served as Prime Minister of Japan in the early 1920s.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
人間
ⓘ
大日本帝国海軍の軍人 ⓘ 日本の海軍軍人 ⓘ 海軍大将 ⓘ 海軍大臣 ⓘ |
| ローマ字表記 | Ito Seiiichi NERFINISHED ⓘ |
| 名前 | 伊藤整一 NERFINISHED ⓘ |
| 国籍 | 日本 ⓘ |
| 役職 |
海軍大臣
ⓘ
軍令部次長 NERFINISHED ⓘ 軍令部総長 ⓘ |
| 性別 | 男性 ⓘ |
| 所属 | 大日本帝国海軍 NERFINISHED ⓘ |
| 所属組織 |
小磯國昭内閣
ⓘ
日本政府 ⓘ 東條英機内閣 ⓘ 鈴木貫太郎内閣 NERFINISHED ⓘ |
| 時代 | 昭和時代 ⓘ |
| 歴史的役割 | 第二次世界大戦期の日本海軍指導層の一人 ⓘ |
| 活動分野 | 軍事 ⓘ |
| 職務内容 |
戦時海軍政策の立案に関与した
ⓘ
日本海軍の行政を統括した ⓘ |
| 評価 | 日本の戦時海軍行政に大きな影響を与えた人物 ⓘ |
| 軍歴 | 海軍兵学校出身の将官 ⓘ |
| 関与した戦争 |
太平洋戦争
NERFINISHED
ⓘ
日中戦争 NERFINISHED ⓘ |
| 階級 | 海軍大将 ⓘ |
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.
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.
Subject: 伊藤 整一 Description of subject: 伊藤整一 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval administration.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.