Krste Asanović
E710055
Krste Asanović is a computer architect known for his work on RISC-V and energy-efficient computing, and as a prominent professor at the University of California, Berkeley.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Krste Asanović canonical | 1 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
computer architect
ⓘ
person ⓘ university professor ⓘ |
| academicDiscipline |
computer science
ⓘ
electrical engineering ⓘ |
| educatedAt |
Massachusetts Institute of Technology
ⓘ
Cambridge University ⓘ
surface form:
University of Cambridge
|
| employer | University of California, Berkeley ⓘ |
| fieldOfWork |
RISC-V
NERFINISHED
ⓘ
computer architecture ⓘ energy-efficient computing ⓘ high-performance computing ⓘ parallel computing ⓘ |
| hasCitizenship | United States of America NERFINISHED ⓘ |
| influenced | development of open-source hardware ecosystems ⓘ |
| knownFor |
RISC-V instruction set architecture
NERFINISHED
ⓘ
computer architecture education ⓘ energy-efficient processor design ⓘ open instruction set architectures ⓘ |
| languageSpoken | English ⓘ |
| memberOf | RISC-V community NERFINISHED ⓘ |
| notableWork |
RISC-V ISA design
NERFINISHED
ⓘ
research on energy-efficient manycore processors ⓘ |
| occupation |
engineer
ⓘ
professor ⓘ researcher ⓘ |
| positionHeld |
faculty member in EECS at UC Berkeley
ⓘ
professor at University of California, Berkeley ⓘ |
| workplace | Department of Electrical Engineering and Computer Sciences, University of California, Berkeley NERFINISHED ⓘ |
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: Krste Asanović Description of subject: Krste Asanović is a computer architect known for his work on RISC-V and energy-efficient computing, and as a prominent professor at the University of California, Berkeley.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.