Symbolics Common Lisp implementation
E736611
The Symbolics Common Lisp implementation is a specialized, high-performance version of the Common Lisp language designed for Symbolics Lisp machines, featuring advanced development tools and tight integration with the hardware and operating system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Symbolics Common Lisp implementation canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8472156 — 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: Symbolics Common Lisp implementation Context triple: [Symbolics, developed, Symbolics Common Lisp implementation]
-
A.
CMU Common Lisp
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.
-
B.
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.
-
C.
CLISP
CLISP is a portable, open-source implementation of the Common Lisp programming language featuring an interpreter, compiler, and extensive standard library support.
-
D.
Common Lisp Object System
Common Lisp Object System is the object-oriented programming subsystem of Common Lisp, providing multiple inheritance, generic functions, and a powerful metaobject protocol.
-
E.
Clozure CL
Clozure CL is a modern, open-source implementation of the Common Lisp programming language known for its performance, native code compilation, and good integration with macOS and other Unix-like systems.
- 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: Symbolics Common Lisp implementation Target entity description: The Symbolics Common Lisp implementation is a specialized, high-performance version of the Common Lisp language designed for Symbolics Lisp machines, featuring advanced development tools and tight integration with the hardware and operating system.
-
A.
CMU Common Lisp
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.
-
B.
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.
-
C.
CLISP
CLISP is a portable, open-source implementation of the Common Lisp programming language featuring an interpreter, compiler, and extensive standard library support.
-
D.
Common Lisp Object System
Common Lisp Object System is the object-oriented programming subsystem of Common Lisp, providing multiple inheritance, generic functions, and a powerful metaobject protocol.
-
E.
Clozure CL
Clozure CL is a modern, open-source implementation of the Common Lisp programming language known for its performance, native code compilation, and good integration with macOS and other Unix-like systems.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | Common Lisp implementation ⓘ |
| basedOn | Common Lisp ⓘ |
| conformsTo |
Common Lisp standard (ANSI pre-standard era)
ⓘ
linked to:
ANSI X3J13 Common Lisp
|
| developedBy |
Symbolics Inc.
ⓘ
linked to:
Symbolics
|
| developedFor |
Symbolics Lisp machines
ⓘ
linked to:
Lisp machine
|
| era |
1980s
ⓘ
early 1990s ⓘ |
| feature |
image-based development model
ⓘ
online documentation system ⓘ persistent Lisp world ⓘ powerful macro system ⓘ rich condition system ⓘ tight integration with operating system ⓘ tightly integrated development environment ⓘ |
| includes |
class browser
ⓘ
file system interface ⓘ graphics facilities ⓘ inspector ⓘ integrated editor ⓘ networking libraries ⓘ symbolic debugger ⓘ window system interface ⓘ |
| integratedWith | Genera operating system ⓘ |
| languageFamily |
Lisp
ⓘ
linked to:
Common Lisp
|
| notableFor | advanced interactive development tools ⓘ |
| optimizedFor |
Lisp machine microcode
ⓘ
hardware-assisted garbage collection ⓘ virtual memory system of Genera ⓘ |
| predecessor | Zetalisp ⓘ |
| runsOn |
Symbolics 3600 series
ⓘ
linked to:
Symbolics 3600-series workstations
Symbolics 3650 ⓘ
linked to:
Symbolics 3600-series workstations
Symbolics 3670 ⓘ
linked to:
Symbolics 3600-series workstations
Symbolics MacIvory ⓘ Symbolics UX400 ⓘ
linked to:
Symbolics 3600-series workstations
Symbolics XL400 ⓘ |
| supports |
CLOS
ⓘ
dynamic typing ⓘ garbage collection ⓘ generic functions ⓘ incremental compilation ⓘ interactive development ⓘ method combinations ⓘ multiple inheritance ⓘ object-oriented programming ⓘ |
| usedFor |
artificial intelligence research
ⓘ
computer-aided design ⓘ expert systems ⓘ rapid prototyping ⓘ symbolic computation ⓘ |
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: Symbolics Common Lisp implementation Description of subject: The Symbolics Common Lisp implementation is a specialized, high-performance version of the Common Lisp language designed for Symbolics Lisp machines, featuring advanced development tools and tight integration with the hardware and operating system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.