Neyman Lecture
E833570
The Neyman Lecture is a prestigious invited lecture in statistics named in honor of Jerzy Neyman and presented at major meetings of the Institute of Mathematical Statistics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Neyman Lecture canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9986349 — 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: Neyman Lecture Context triple: [Institute of Mathematical Statistics, awards, Neyman Lecture]
-
A.
Fisher–Schultz Lecture
The Fisher–Schultz Lecture is a prestigious invited lecture in econometrics and economic theory delivered at Econometric Society meetings by a leading economist.
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B.
Hilda Geiringer Lecture
The Hilda Geiringer Lecture is a distinguished lecture series recognizing outstanding contributions in economics, particularly in areas aligned with the Econometric Society’s focus on quantitative and theoretical analysis.
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C.
Jacob Marschak Lecture
The Jacob Marschak Lecture is a prestigious invited lecture in economics and econometrics, delivered by a distinguished scholar at Econometric Society meetings.
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D.
Emmy Noether Lecture
The Emmy Noether Lecture is a distinguished mathematical lecture series named in honor of pioneering algebraist Emmy Noether, typically recognizing outstanding contributions by women in mathematics.
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E.
Gibbs Lectureship
The Gibbs Lectureship is a prestigious mathematical lecture series sponsored by the American Mathematical Society, featuring distinguished researchers presenting expository talks on significant developments in mathematics.
- 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: Neyman Lecture Target entity description: The Neyman Lecture is a prestigious invited lecture in statistics named in honor of Jerzy Neyman and presented at major meetings of the Institute of Mathematical Statistics.
-
A.
Fisher–Schultz Lecture
The Fisher–Schultz Lecture is a prestigious invited lecture in econometrics and economic theory delivered at Econometric Society meetings by a leading economist.
-
B.
Hilda Geiringer Lecture
The Hilda Geiringer Lecture is a distinguished lecture series recognizing outstanding contributions in economics, particularly in areas aligned with the Econometric Society’s focus on quantitative and theoretical analysis.
-
C.
Jacob Marschak Lecture
The Jacob Marschak Lecture is a prestigious invited lecture in economics and econometrics, delivered by a distinguished scholar at Econometric Society meetings.
-
D.
Emmy Noether Lecture
The Emmy Noether Lecture is a distinguished mathematical lecture series named in honor of pioneering algebraist Emmy Noether, typically recognizing outstanding contributions by women in mathematics.
-
E.
Gibbs Lectureship
The Gibbs Lectureship is a prestigious mathematical lecture series sponsored by the American Mathematical Society, featuring distinguished researchers presenting expository talks on significant developments in mathematics.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
invited lecture
ⓘ
statistics lecture ⓘ |
| academicDiscipline | mathematical statistics ⓘ |
| associatedWith |
Institute of Mathematical Statistics
NERFINISHED
ⓘ
Jerzy Neyman NERFINISHED ⓘ |
| audience |
probabilists
ⓘ
statisticians ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| field | statistics ⓘ |
| hasAttribute | prestigious ⓘ |
| hasType | plenary lecture ⓘ |
| honors | Jerzy Neyman NERFINISHED ⓘ |
| language | English ⓘ |
| namedAfter | Jerzy Neyman NERFINISHED ⓘ |
| namedFor | Jerzy Neyman NERFINISHED ⓘ |
| organizer | Institute of Mathematical Statistics NERFINISHED ⓘ |
| presentedAt | major meetings of the Institute of Mathematical Statistics ⓘ |
| sponsor | Institute of Mathematical Statistics NERFINISHED ⓘ |
| topic |
statistical methodology
ⓘ
statistical theory ⓘ |
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: Neyman Lecture Description of subject: The Neyman Lecture is a prestigious invited lecture in statistics named in honor of Jerzy Neyman and presented at major meetings of the Institute of Mathematical Statistics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.