Egon Pearson
E665242
Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Egon Pearson canonical | 6 |
| Egon Sharpe Pearson | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7454044 — 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: Egon Pearson Context triple: [Karl Pearson, child, Egon Pearson]
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A.
Ronald A. Fisher
Ronald A. Fisher was a pioneering British statistician and geneticist whose work helped found modern statistical science and unify Mendelian genetics with Darwinian evolution.
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B.
Karl Pearson
Karl Pearson was a pioneering British statistician and eugenicist who helped found the modern field of mathematical statistics and developed key concepts such as the Pearson correlation coefficient and chi-squared test.
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C.
Henry Wilcoxon
Henry Wilcoxon was a British actor best known for his leading roles in 1930s and 1940s Hollywood epics and for his frequent collaborations with director Cecil B. DeMille.
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D.
Fred Mosteller
Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
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E.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
- 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: Egon Pearson Target entity description: Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
-
A.
Ronald A. Fisher
Ronald A. Fisher was a pioneering British statistician and geneticist whose work helped found modern statistical science and unify Mendelian genetics with Darwinian evolution.
-
B.
Karl Pearson
Karl Pearson was a pioneering British statistician and eugenicist who helped found the modern field of mathematical statistics and developed key concepts such as the Pearson correlation coefficient and chi-squared test.
-
C.
Henry Wilcoxon
Henry Wilcoxon was a British actor best known for his leading roles in 1930s and 1940s Hollywood epics and for his frequent collaborations with director Cecil B. DeMille.
-
D.
Fred Mosteller
Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
-
E.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
- F. None of above. chosen
Statements (45)
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: Egon Pearson Description of subject: Egon Pearson was a British statistician best known for co-developing the Neyman–Pearson lemma, a fundamental result in hypothesis testing.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.