CMU Common Lisp
E474906
CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
All labels observed (3)
| Label | Occurrences |
|---|---|
| CMU Common Lisp canonical | 2 |
| CMU Common Lisp implementation | 1 |
| CMUCL | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4850103 — 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: CMU Common Lisp Context triple: [Scott Fahlman, knownFor, CMU Common Lisp]
-
A.
Maclisp
Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
-
B.
Common Lisp
Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
-
C.
Lisp programming language
Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
-
D.
Chez Scheme
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
-
E.
MIT Scheme
MIT Scheme is a long-standing, feature-rich implementation of the Scheme programming language developed at the Massachusetts Institute of Technology, often used for teaching and research in computer science.
- 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: CMU Common Lisp Target entity description: CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
-
A.
Maclisp
Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
-
B.
Common Lisp
Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
-
C.
Lisp programming language
Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
-
D.
Chez Scheme
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
-
E.
MIT Scheme
MIT Scheme is a long-standing, feature-rich implementation of the Scheme programming language developed at the Massachusetts Institute of Technology, often used for teaching and research in computer science.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
Common Lisp implementation
ⓘ
compiler ⓘ free software ⓘ open-source software ⓘ |
| category |
Common Lisp compiler
ⓘ
Common Lisp development environment NERFINISHED ⓘ |
| designGoal |
high performance
ⓘ
portable implementation ⓘ research platform for compiler technology ⓘ |
| developer | Carnegie Mellon University NERFINISHED ⓘ |
| distribution |
some 64-bit platforms
ⓘ
x86 architecture ⓘ |
| feature |
ANSI Common Lisp support (substantial)
ⓘ
advanced optimization ⓘ efficient numerical code generation ⓘ foreign function interface ⓘ generational garbage collector ⓘ interactive debugger ⓘ native code compiler ⓘ profiling tools ⓘ safety and speed optimization controls ⓘ sophisticated compiler diagnostics ⓘ type inference ⓘ |
| hasComponent | Python compiler (CMUCL compiler) ⓘ |
| hasSubsystem |
debugger
ⓘ
foreign function interface ⓘ garbage collector ⓘ runtime system ⓘ |
| implementationLanguage |
C
NERFINISHED
ⓘ
Common Lisp NERFINISHED ⓘ |
| influenced | SBCL NERFINISHED ⓘ |
| license | public domain-like license ⓘ |
| notableFor |
aggressive optimization capabilities
ⓘ
good performance for numeric computing ⓘ high-performance compiler ⓘ |
| operatingSystem |
BSD
NERFINISHED
ⓘ
Linux ⓘ Solaris NERFINISHED ⓘ Unix-like systems ⓘ |
| origin | Carnegie Mellon University NERFINISHED ⓘ |
| programmingLanguage | Common Lisp NERFINISHED ⓘ |
| shortName | CMUCL NERFINISHED ⓘ |
| supportsStandard |
Common Lisp Object System
NERFINISHED
ⓘ
Common Lisp condition system NERFINISHED ⓘ Common Lisp macros ⓘ |
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: CMU Common Lisp Description of subject: CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
CMU Common Lisp implementation
this entity surface form:
CMUCL