Shannon Lecture
E634604
The Shannon Lecture is a prestigious invited talk in information theory delivered by the recipient of the Claude E. Shannon Award, highlighting their influential contributions to the field.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Shannon Lecture canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7000429 — 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: Shannon Lecture Context triple: [Claude E. Shannon Award, hasPart, Shannon 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.
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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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.
Cowles Lecture
The Cowles Lecture is a prestigious invited lecture in econometrics and economic theory, delivered at Econometric Society meetings and associated with the Cowles Foundation’s tradition of rigorous quantitative research.
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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: Shannon Lecture Target entity description: The Shannon Lecture is a prestigious invited talk in information theory delivered by the recipient of the Claude E. Shannon Award, highlighting their influential contributions to the field.
-
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.
Otto Laporte Lecture
The Otto Laporte Lecture is a prestigious invited lecture in fluid dynamics, presented annually to honor outstanding contributions to the field.
-
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.
Cowles Lecture
The Cowles Lecture is a prestigious invited lecture in econometrics and economic theory, delivered at Econometric Society meetings and associated with the Cowles Foundation’s tradition of rigorous quantitative research.
-
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 (26)
| Predicate | Object |
|---|---|
| instanceOf |
academic lecture
ⓘ
event in information theory ⓘ prestigious invited lecture ⓘ |
| associatedAward | Claude E. Shannon Award NERFINISHED ⓘ |
| audience | information theorists ⓘ |
| category |
award lecture
ⓘ
scientific lecture ⓘ |
| deliveredBy | recipient of the Claude E. Shannon Award ⓘ |
| field | information theory ⓘ |
| format | invited talk ⓘ |
| honors | Claude E. Shannon’s legacy ⓘ |
| isPartOf | traditions of the information theory community ⓘ |
| language | English ⓘ |
| namedAfter | Claude E. Shannon NERFINISHED ⓘ |
| purpose | to highlight influential contributions to information theory ⓘ |
| recognizes |
pioneering work in information theory
ⓘ
sustained impact on information theory ⓘ |
| selectionCriterion |
influential research in information theory
ⓘ
lifetime contributions to information theory ⓘ |
| significance | one of the highest honors in information theory community ⓘ |
| status | ongoing annual tradition ⓘ |
| topic |
applications of information theory
ⓘ
fundamental advances in information theory ⓘ information theory research ⓘ |
| typicalDuration | plenary-length talk ⓘ |
| typicalVenue | major information theory conference ⓘ |
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: Shannon Lecture Description of subject: The Shannon Lecture is a prestigious invited talk in information theory delivered by the recipient of the Claude E. Shannon Award, highlighting their influential contributions to the field.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.