Monica S. Lam
E173628
Monica S. Lam is a computer scientist and professor known for her influential work in compilers, programming languages, and software systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Monica S. Lam canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T1531465 — 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: Monica S. Lam Context triple: [Compilers: Principles, Techniques, and Tools, author, Monica S. Lam]
-
A.
Jeffrey D. Ullman
Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
-
B.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
C.
Rajeev Alur
Rajeev Alur is a prominent computer scientist known for his foundational contributions to formal methods, automata theory, and the verification of real-time and hybrid systems.
-
D.
John L. Hennessy
John L. Hennessy is an American computer scientist and academic leader, former president of Stanford University, and a pioneer in RISC processor architecture.
-
E.
Steven K. Feiner
Steven K. Feiner is a computer scientist known for his pioneering work in computer graphics and augmented reality, including influential textbooks and research on user interfaces and visualization.
- 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: Monica S. Lam Target entity description: Monica S. Lam is a computer scientist and professor known for her influential work in compilers, programming languages, and software systems.
-
A.
Jeffrey D. Ullman
Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
-
B.
Andrew G. Myers
Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
-
C.
Rajeev Alur
Rajeev Alur is a prominent computer scientist known for his foundational contributions to formal methods, automata theory, and the verification of real-time and hybrid systems.
-
D.
John L. Hennessy
John L. Hennessy is an American computer scientist and academic leader, former president of Stanford University, and a pioneer in RISC processor architecture.
-
E.
Steven K. Feiner
Steven K. Feiner is a computer scientist known for his pioneering work in computer graphics and augmented reality, including influential textbooks and research on user interfaces and visualization.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ university professor ⓘ |
| awardReceived |
Fellow of the Association for Computing Machinery
ⓘ
surface form:
ACM Fellow
IEEE Fellow ⓘ |
| coAuthor |
Alfred V. Aho
ⓘ
Jeffrey D. Ullman ⓘ Ravi Sethi ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| educatedAt |
CMU
ⓘ
surface form:
Carnegie Mellon University
Massachusetts Institute of Technology ⓘ |
| employer | Stanford University ⓘ |
| fieldOfWork |
compilers
ⓘ
computer science ⓘ high-performance computing ⓘ parallel computing ⓘ program analysis ⓘ programming languages ⓘ software security ⓘ software systems ⓘ |
| hasAcademicAdvisor |
John L. Hennessy
ⓘ
surface form:
John Hennessy
|
| hasAcademicRank | Professor ⓘ |
| hasRole | principal investigator on research projects ⓘ |
| hasWritten |
Compilers: Principles, Techniques, and Tools
ⓘ
surface form:
"Compilers: Principles, Techniques, and Tools" (2nd edition)
|
| languageOfWorkOrName | English ⓘ |
| memberOf |
ACM
ⓘ
Institute of Electrical and Electronics Engineers ⓘ
surface form:
IEEE
|
| notableFor |
influential work in compilers
ⓘ
influential work in programming languages ⓘ influential work in software systems ⓘ |
| notableWork |
SUIF compiler infrastructure
ⓘ
research on optimizing compilers ⓘ research on program analysis for security ⓘ second edition of the "Dragon Book" on compilers ⓘ work on mobile and social computing platforms ⓘ work on software bug detection tools ⓘ |
| occupation | Professor of Computer Science ⓘ |
| researchInterest |
runtime systems
ⓘ
security and privacy in software ⓘ software reliability ⓘ static analysis ⓘ |
| workInstitution |
Stanford Computer Science Department
ⓘ
surface form:
Stanford University Department of Computer Science
|
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: Monica S. Lam Description of subject: Monica S. Lam is a computer scientist and professor known for her influential work in compilers, programming languages, and software systems.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.