Kenneth L. McMillan
E824077
Kenneth L. McMillan is a computer scientist best known for pioneering work in symbolic model checking and formal verification methods for hardware and software systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kenneth L. McMillan canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9838499 — 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: Kenneth L. McMillan Context triple: [Symbolic Model Checking, associatedWithResearcher, Kenneth L. McMillan]
-
A.
Larry L. Peterson
Larry L. Peterson is a prominent computer scientist known for his influential research and leadership in computer networking and distributed systems.
-
B.
Charles P. Thacker
Charles P. Thacker was a pioneering computer engineer best known for his work at Xerox PARC, where he was a key architect of the Alto, one of the first personal computers with a graphical user interface.
-
C.
Kenneth Howard Norton
Kenneth Howard Norton was an American professional heavyweight boxer best known for breaking Muhammad Ali’s jaw and defeating him in a 1973 upset.
-
D.
David H. Brown
David H. Brown was one of the defendants tried alongside Dr. Ossian Sweet in the landmark 1925 Detroit case involving racial tensions, self-defense, and housing segregation.
-
E.
John C. Martin
John C. Martin was an American pharmaceutical executive and scientist best known for leading Gilead Sciences’ rise into a major biopharmaceutical company, particularly in antiviral and HIV/hepatitis C treatments.
- 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: Kenneth L. McMillan Target entity description: Kenneth L. McMillan is a computer scientist best known for pioneering work in symbolic model checking and formal verification methods for hardware and software systems.
-
A.
Larry L. Peterson
Larry L. Peterson is a prominent computer scientist known for his influential research and leadership in computer networking and distributed systems.
-
B.
Charles P. Thacker
Charles P. Thacker was a pioneering computer engineer best known for his work at Xerox PARC, where he was a key architect of the Alto, one of the first personal computers with a graphical user interface.
-
C.
Kenneth Howard Norton
Kenneth Howard Norton was an American professional heavyweight boxer best known for breaking Muhammad Ali’s jaw and defeating him in a 1973 upset.
-
D.
David H. Brown
David H. Brown was one of the defendants tried alongside Dr. Ossian Sweet in the landmark 1925 Detroit case involving racial tensions, self-defense, and housing segregation.
-
E.
John C. Martin
John C. Martin was an American pharmaceutical executive and scientist best known for leading Gilead Sciences’ rise into a major biopharmaceutical company, particularly in antiviral and HIV/hepatitis C treatments.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| academicDegree |
Bachelor’s degree in computer science from MIT
ⓘ
PhD in computer science from the University of California, Berkeley ⓘ |
| authorOf | Symbolic Model Checking: An Approach to the State Explosion Problem NERFINISHED ⓘ |
| awardReceived |
ACM Paris Kanellakis Theory and Practice Award
NERFINISHED
ⓘ
ACM SIGPLAN Most Influential POPL Paper Award NERFINISHED ⓘ CAV Award NERFINISHED ⓘ |
| citizenship |
United States of America
ⓘ
surface form:
United States
|
| contributedTo |
SAT-based model checking
ⓘ
abstraction and refinement techniques in verification ⓘ verification of hardware designs ⓘ verification of software systems ⓘ |
| developed |
IC3 / Property Directed Reachability (PDR) algorithm
NERFINISHED
ⓘ
interpolation-based model checking methods ⓘ symbolic model checking techniques ⓘ |
| doctoralAdvisor | Zohar Manna NERFINISHED ⓘ |
| educatedAt |
Massachusetts Institute of Technology
ⓘ
University of California, Berkeley ⓘ |
| employer |
Amazon Web Services
NERFINISHED
ⓘ
Cadence Design Systems NERFINISHED ⓘ Carnegie Mellon University NERFINISHED ⓘ Microsoft Research NERFINISHED ⓘ |
| fieldOfWork |
computer science
ⓘ
formal methods ⓘ formal verification ⓘ model checking ⓘ symbolic model checking ⓘ |
| hasResearchInterest |
SAT and SMT solving
ⓘ
automated reasoning ⓘ decision procedures ⓘ temporal logic ⓘ |
| influenced |
industrial hardware verification practice
ⓘ
software model checking research ⓘ |
| knownFor |
Craig interpolation in model checking
ⓘ
IC3 model checking algorithm NERFINISHED ⓘ symbolic model checking ⓘ |
| memberOf | Association for Computing Machinery NERFINISHED ⓘ |
| notableFor |
formal verification methods for hardware systems
ⓘ
formal verification methods for software systems ⓘ pioneering work in symbolic model checking ⓘ |
| notableWork | Symbolic Model Checking: An Approach to the State Explosion Problem NERFINISHED ⓘ |
| presentedAt |
Computer Aided Design of Integrated Circuits and Systems venues
NERFINISHED
ⓘ
Computer Aided Verification conference NERFINISHED ⓘ Principles of Programming Languages conference NERFINISHED ⓘ |
| workLocation |
United States of America
ⓘ
surface form:
United States
|
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: Kenneth L. McMillan Description of subject: Kenneth L. McMillan is a computer scientist best known for pioneering work in symbolic model checking and formal verification methods for hardware and software systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.