Vikram Adve
E291879
Vikram Adve is a computer scientist best known as a co-creator of the LLVM compiler infrastructure and a professor at the University of Illinois at Urbana-Champaign.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vikram Adve canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2716418 — 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.
Target entity: Vikram Adve Context triple: [LLVM, originalDeveloper, Vikram Adve]
-
A.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
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B.
Vijay Joshi
Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
-
C.
Manik Talwani
Manik Talwani is a geophysicist known for his pioneering work in gravity and magnetic field studies of the Earth and for his influential research conducted at Columbia University's Lamont Geological Observatory.
-
D.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
E.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Vikram Adve Target entity description: Vikram Adve is a computer scientist best known as a co-creator of the LLVM compiler infrastructure and a professor at the University of Illinois at Urbana-Champaign.
-
A.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
B.
Vijay Joshi
Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
-
C.
Manik Talwani
Manik Talwani is a geophysicist known for his pioneering work in gravity and magnetic field studies of the Earth and for his influential research conducted at Columbia University's Lamont Geological Observatory.
-
D.
Rajeev Misra
Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
-
E.
Laxman Narasimhan
Laxman Narasimhan is an Indian-American business executive best known as the chief executive officer of Starbucks and former CEO of Reckitt Benckiser.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
computer scientist ⓘ university professor ⓘ |
| affiliation |
University of Illinois at Urbana–Champaign
ⓘ
surface form:
University of Illinois at Urbana-Champaign
|
| areaOfInfluence |
open-source compiler infrastructure
ⓘ
software development tools ⓘ |
| coauthoredWith |
Chris Lattner
ⓘ
Mary K. Vernon ⓘ |
| coCreatorOf | LLVM ⓘ |
| countryOfCitizenship | India ⓘ |
| degree |
B.Tech. in Electrical Engineering
ⓘ
Ph.D. in Computer Science ⓘ |
| doctoralAdvisor | Mary K. Vernon ⓘ |
| educatedAt |
Indian Institute of Technology Bombay
ⓘ
University of Wisconsin–Madison ⓘ |
| employer |
University of Illinois at Urbana–Champaign
ⓘ
surface form:
University of Illinois at Urbana-Champaign
|
| fieldOfWork |
compiler technology
ⓘ
computer science ⓘ programming languages ⓘ software systems ⓘ |
| hasAcademicDiscipline |
high-performance computing
ⓘ
systems research ⓘ |
| hasAcademicRank | full professor ⓘ |
| hasRole |
advisor
ⓘ
researcher ⓘ teacher ⓘ |
| influenced | design of modern compiler infrastructures ⓘ |
| knownFor |
co-creating the LLVM compiler infrastructure
ⓘ
research on compilers ⓘ research on parallel computing ⓘ research on programming languages ⓘ |
| language |
English
ⓘ
Hindi ⓘ |
| memberOf |
University of Illinois at Urbana-Champaign Department of Computer Science
ⓘ
surface form:
Department of Computer Science, University of Illinois at Urbana-Champaign
|
| notableProject |
LLVM
ⓘ
surface form:
LLVM intermediate representation
LLVM-based compiler tools ⓘ |
| notableStudent | Chris Lattner ⓘ |
| notableWork |
LLVM
ⓘ
surface form:
LLVM compiler infrastructure
|
| occupation | professor ⓘ |
| positionHeld | Professor of Computer Science at the University of Illinois at Urbana-Champaign ⓘ |
| researchInterest |
compiler optimizations
ⓘ
heterogeneous computing ⓘ intermediate representations for compilers ⓘ parallel programming models ⓘ software reliability ⓘ |
| workInstitution |
University of Illinois at Urbana–Champaign
ⓘ
surface form:
University of Illinois at Urbana-Champaign
|
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.
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.
Subject: Vikram Adve Description of subject: Vikram Adve is a computer scientist best known as a co-creator of the LLVM compiler infrastructure and a professor at the University of Illinois at Urbana-Champaign.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.