Katalin Karikó
E44893
Katalin Karikó is a Hungarian-American biochemist whose pioneering work on mRNA technology enabled the development of several COVID-19 vaccines and earned her a share of the 2023 Nobel Prize in Physiology or Medicine.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Katalin Karikó canonical | 11 |
How this entity was disambiguated
This entity first appeared as the object of triple T350376 — 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: Katalin Karikó Context triple: [Robert Langer, notableStudent, Katalin Karikó]
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A.
Harold Varmus
Harold Varmus is a Nobel Prize–winning American cancer researcher and former director of the National Institutes of Health and the National Cancer Institute.
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B.
Jacob Varmus
Jacob Varmus is an American jazz trumpeter, composer, and bandleader known for his work in the New York City jazz scene.
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C.
Christopher Varmus
Christopher Varmus is one of the sons of Nobel Prize–winning American cancer researcher and former NIH director Harold Varmus.
-
D.
Joseph C. Tsai
Joseph C. Tsai is a Taiwanese-Canadian billionaire businessman, co-founder and executive vice chairman of Alibaba Group, and principal owner of the Brooklyn Nets NBA franchise.
-
E.
Rolf Zinkernagel
Rolf Zinkernagel is a Swiss immunologist and Nobel Prize laureate renowned for his discovery of how the immune system recognizes virus-infected cells.
- 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: Katalin Karikó Target entity description: Katalin Karikó is a Hungarian-American biochemist whose pioneering work on mRNA technology enabled the development of several COVID-19 vaccines and earned her a share of the 2023 Nobel Prize in Physiology or Medicine.
-
A.
Harold Varmus
Harold Varmus is a Nobel Prize–winning American cancer researcher and former director of the National Institutes of Health and the National Cancer Institute.
-
B.
Jacob Varmus
Jacob Varmus is an American jazz trumpeter, composer, and bandleader known for his work in the New York City jazz scene.
-
C.
Christopher Varmus
Christopher Varmus is one of the sons of Nobel Prize–winning American cancer researcher and former NIH director Harold Varmus.
-
D.
Joseph C. Tsai
Joseph C. Tsai is a Taiwanese-Canadian billionaire businessman, co-founder and executive vice chairman of Alibaba Group, and principal owner of the Brooklyn Nets NBA franchise.
-
E.
Rolf Zinkernagel
Rolf Zinkernagel is a Swiss immunologist and Nobel Prize laureate renowned for his discovery of how the immune system recognizes virus-infected cells.
- F. None of above. chosen
Statements (49)
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: Katalin Karikó Description of subject: Katalin Karikó is a Hungarian-American biochemist whose pioneering work on mRNA technology enabled the development of several COVID-19 vaccines and earned her a share of the 2023 Nobel Prize in Physiology or Medicine.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.