Iwao Nitta
E527050
Iwao Nitta was a Japanese chemist and academic known for mentoring future Nobel laureate Akira Suzuki during his doctoral studies.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Iwao Nitta canonical | 2 |
| Iwao | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3351800 — 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: Iwao Nitta Context triple: [Akira Suzuki, doctoralAdvisor, Iwao Nitta]
-
A.
Yosuke Kubozuka
Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
-
B.
Ōyama Iwao
Ōyama Iwao was a prominent Meiji-era Japanese field marshal and statesman who played key leadership roles in Japan’s early modern wars and military modernization.
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C.
Minoru Ōta
Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
-
D.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
-
E.
Shigeru Umebayashi
Shigeru Umebayashi is a Japanese composer best known internationally for his evocative film scores, particularly in collaborations with directors like Wong Kar-wai and Zhang Yimou.
- 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: Iwao Nitta Target entity description: Iwao Nitta was a Japanese chemist and academic known for mentoring future Nobel laureate Akira Suzuki during his doctoral studies.
-
A.
Yosuke Kubozuka
Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
-
B.
Ōyama Iwao
Ōyama Iwao was a prominent Meiji-era Japanese field marshal and statesman who played key leadership roles in Japan’s early modern wars and military modernization.
-
C.
Minoru Ōta
Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
-
D.
Koichi Tanaka
Koichi Tanaka is a Japanese engineer and Nobel Prize–winning chemist renowned for his pioneering work in mass spectrometry, particularly soft laser desorption ionization.
-
E.
Shigeru Umebayashi
Shigeru Umebayashi is a Japanese composer best known internationally for his evocative film scores, particularly in collaborations with directors like Wong Kar-wai and Zhang Yimou.
- F. None of above. chosen
Statements (11)
| Predicate | Object |
|---|---|
| instanceOf |
Nobel laureate in Chemistry
ⓘ
chemist ⓘ person ⓘ |
| countryOfCitizenship | Japan ⓘ |
| doctoralAdvisorOf | Akira Suzuki ⓘ |
| doctoralStudentOf | Iwao Nitta ⓘ |
| fieldOfWork | chemistry ⓘ |
| nationality | Japanese ⓘ |
| notableStudent | Akira Suzuki ⓘ |
| occupation |
chemist
ⓘ
university professor ⓘ |
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: Iwao Nitta Description of subject: Iwao Nitta was a Japanese chemist and academic known for mentoring future Nobel laureate Akira Suzuki during his doctoral studies.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.