Raymond E. Goldstein
E35780
Raymond E. Goldstein is a physicist renowned for his pioneering work in biological and nonlinear fluid dynamics, for which he received the APS Fluid Dynamics Prize.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Raymond E. Goldstein canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T210716 — 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: Raymond E. Goldstein Context triple: [Fluid Dynamics Prize, hasRecipient, Raymond E. Goldstein]
-
A.
Philip G. Saffman
Philip G. Saffman was a prominent British-American applied mathematician and fluid dynamicist known for his influential work on vortex dynamics and the theory of turbulence.
-
B.
G. K. Batchelor
G. K. Batchelor was a prominent British applied mathematician and fluid dynamicist known for his foundational contributions to turbulence theory and for authoring the classic text "An Introduction to Fluid Dynamics."
-
C.
Michael Cates
Michael Cates is a British physicist renowned for his work in soft condensed matter and statistical mechanics, and for holding one of the most prestigious mathematics chairs at the University of Cambridge.
-
D.
Stanley Corrsin
Stanley Corrsin was a prominent American fluid dynamicist renowned for his pioneering contributions to the study of turbulence and mixing in fluid flows.
-
E.
Howard A. Stone
Howard A. Stone is a prominent American engineer and applied physicist renowned for his pioneering contributions to fluid dynamics and soft matter physics.
- 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: Raymond E. Goldstein Target entity description: Raymond E. Goldstein is a physicist renowned for his pioneering work in biological and nonlinear fluid dynamics, for which he received the APS Fluid Dynamics Prize.
-
A.
Philip G. Saffman
Philip G. Saffman was a prominent British-American applied mathematician and fluid dynamicist known for his influential work on vortex dynamics and the theory of turbulence.
-
B.
G. K. Batchelor
G. K. Batchelor was a prominent British applied mathematician and fluid dynamicist known for his foundational contributions to turbulence theory and for authoring the classic text "An Introduction to Fluid Dynamics."
-
C.
Michael Cates
Michael Cates is a British physicist renowned for his work in soft condensed matter and statistical mechanics, and for holding one of the most prestigious mathematics chairs at the University of Cambridge.
-
D.
Stanley Corrsin
Stanley Corrsin was a prominent American fluid dynamicist renowned for his pioneering contributions to the study of turbulence and mixing in fluid flows.
-
E.
Howard A. Stone
Howard A. Stone is a prominent American engineer and applied physicist renowned for his pioneering contributions to fluid dynamics and soft matter physics.
- F. None of above. chosen
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
physicist ⓘ |
| awardReceived |
Fluid Dynamics Prize
ⓘ
surface form:
APS Fluid Dynamics Prize
|
| citizenship | United States of America ⓘ |
| educatedAt |
Cornell University
ⓘ
Harvard University ⓘ |
| employer |
Cambridge University
ⓘ
surface form:
University of Cambridge
|
| fieldOfWork |
biological physics
ⓘ
biophysics ⓘ fluid dynamics ⓘ nonlinear fluid dynamics ⓘ soft condensed matter physics ⓘ |
| hasAcademicDiscipline |
applied mathematics
ⓘ
theoretical physics ⓘ |
| hasGender | male ⓘ |
| knownFor |
pioneering work in biological fluid dynamics
ⓘ
pioneering work in nonlinear fluid dynamics ⓘ research on active matter ⓘ research on collective behavior in biological systems ⓘ research on flagellar synchronization ⓘ research on pattern formation in fluids ⓘ |
| languageSpoken | English ⓘ |
| memberOf |
Department of Applied Mathematics and Theoretical Physics, University of Cambridge
ⓘ
surface form:
Department of Applied Mathematics and Theoretical Physics
Faculty of Mathematics, University of Cambridge ⓘ
surface form:
University of Cambridge faculty
|
| notableWork |
research on chemotaxis and microbial dynamics
ⓘ
studies of pattern formation in reaction–diffusion systems ⓘ studies of synchronization of eukaryotic flagella ⓘ work on low-Reynolds-number locomotion ⓘ |
| occupation |
research scientist
ⓘ
university professor ⓘ |
| positionHeld | Professor of Complex Physical Systems ⓘ |
| researchInterest |
biological flows
ⓘ
nonequilibrium statistical physics ⓘ nonlinear dynamics ⓘ self-organization in living systems ⓘ |
| workLocation |
City of Cambridge
ⓘ
surface form:
Cambridge
|
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: Raymond E. Goldstein Description of subject: Raymond E. Goldstein is a physicist renowned for his pioneering work in biological and nonlinear fluid dynamics, for which he received the APS Fluid Dynamics Prize.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.