Wald Lecture
E835333
The Wald Lecture is a prestigious invited lecture series in statistics and probability, named after Abraham Wald and delivered at major meetings of the Institute of Mathematical Statistics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wald Lecture canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9986348 — 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: Wald Lecture Context triple: [Institute of Mathematical Statistics, awards, Wald Lecture]
-
A.
Fisher Lecture
The Fisher Lecture is a prestigious annual lecture in statistics that honors outstanding contributions to statistical science and is named after the pioneering statistician Ronald A. Fisher.
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B.
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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C.
Neyman Lecture
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.
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D.
Otto Laporte Lecture
The Otto Laporte Lecture is a prestigious invited lecture in fluid dynamics, presented annually to honor outstanding contributions to the field.
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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: Wald Lecture Target entity description: The Wald Lecture is a prestigious invited lecture series in statistics and probability, named after Abraham Wald and delivered at major meetings of the Institute of Mathematical Statistics.
-
A.
Fisher Lecture
The Fisher Lecture is a prestigious annual lecture in statistics that honors outstanding contributions to statistical science and is named after the pioneering statistician Ronald A. Fisher.
-
B.
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.
-
C.
Neyman Lecture
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.
-
D.
Otto Laporte Lecture
The Otto Laporte Lecture is a prestigious invited lecture in fluid dynamics, presented annually to honor outstanding contributions to the field.
-
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 series
ⓘ
statistics lecture ⓘ |
| associatedWith |
IMS annual meetings
NERFINISHED
ⓘ
IMS special conferences NERFINISHED ⓘ |
| audience |
probability theorists
ⓘ
professional statisticians ⓘ |
| describedAs | prestigious invited lecture series ⓘ |
| field |
probability
ⓘ
statistics ⓘ |
| givenAt | major meetings of the Institute of Mathematical Statistics ⓘ |
| hasFormat | plenary lecture ⓘ |
| hasNotableType | named lecture in mathematics ⓘ |
| honors | Abraham Wald NERFINISHED ⓘ |
| language | English ⓘ |
| namedAfter | Abraham Wald NERFINISHED ⓘ |
| organizer | Institute of Mathematical Statistics NERFINISHED ⓘ |
| selectionBy | Institute of Mathematical Statistics NERFINISHED ⓘ |
| sponsor | Institute of Mathematical Statistics NERFINISHED ⓘ |
| topic |
advanced statistics
ⓘ
probability 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: Wald Lecture Description of subject: The Wald Lecture is a prestigious invited lecture series in statistics and probability, named after Abraham Wald and delivered 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.