Franz Lisp
E529380
Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Franz Lisp canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5582288 — 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: Franz Lisp Context triple: [Maclisp, influenced, Franz 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.
Chez Scheme
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production 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.
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.
-
E.
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.
- 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: Franz Lisp Target entity description: Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
-
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.
Chez Scheme
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production 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.
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.
-
E.
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.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Lisp dialect
ⓘ
programming language implementation ⓘ |
| academicOrigin | Computer Science Division, UC Berkeley NERFINISHED ⓘ |
| developer |
John Foderaro
NERFINISHED
ⓘ
Richard Fateman NERFINISHED ⓘ University of California, Berkeley NERFINISHED ⓘ |
| distribution | Berkeley Software Distribution environment NERFINISHED ⓘ |
| feature |
arrays
ⓘ
bignum arithmetic ⓘ compiled code support ⓘ dynamic scoping ⓘ dynamic typing ⓘ garbage collection ⓘ hash tables ⓘ interpreter ⓘ lexical scoping ⓘ macro system ⓘ s-expression syntax ⓘ |
| historicalPeriod | fourth generation Lisp ⓘ |
| implementationLanguage |
C
NERFINISHED
ⓘ
assembly language ⓘ |
| inception | late 1970s ⓘ |
| inceptionYear | 1978 ⓘ |
| influenced |
Allegro Common Lisp
NERFINISHED
ⓘ
Common Lisp NERFINISHED ⓘ |
| influencedBy |
Lisp 1.5
NERFINISHED
ⓘ
Maclisp NERFINISHED ⓘ |
| license | proprietary ⓘ |
| mainUse |
artificial intelligence research
ⓘ
symbolic computation ⓘ |
| namedAfter | Franz Schubert NERFINISHED ⓘ |
| notableImplementation | Franz Lisp for VAX/UNIX NERFINISHED ⓘ |
| operatingSystem |
BSD Unix
NERFINISHED
ⓘ
UNIX NERFINISHED ⓘ VAX/UNIX NERFINISHED ⓘ |
| platform |
DEC VAX
NERFINISHED
ⓘ
Motorola 68000 NERFINISHED ⓘ PDP-11 NERFINISHED ⓘ |
| programmingLanguageFamily | Lisp NERFINISHED ⓘ |
| relatedTo |
Interlisp
NERFINISHED
ⓘ
Maclisp NERFINISHED ⓘ Zetalisp NERFINISHED ⓘ |
| status | historical ⓘ |
| targetDomain |
AI programming
ⓘ
symbolic mathematics ⓘ |
| use |
expert systems
ⓘ
natural language processing research ⓘ symbolic algebra systems ⓘ university research ⓘ |
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: Franz Lisp Description of subject: Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.