Symbolics
E200304
Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Symbolics canonical | 1 |
| Symbolics UX400 | 1 |
| Symbolics XL1200 | 1 |
| Symbolics, Inc. | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1774578 — 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 Context triple: [NuBus, wasAdoptedBy, Symbolics]
-
A.
Maxima
Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
B.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
-
C.
CAS (Computer Algebra System)
CAS (Computer Algebra System) is software that performs symbolic mathematical computations—such as algebraic manipulation, equation solving, and calculus operations—exactly rather than numerically.
-
D.
Berlekamp and Company
Berlekamp and Company is an investment management firm established by mathematician and coding theory pioneer Elwyn R. Berlekamp, known for applying quantitative and game-theoretic methods to financial markets.
-
E.
Sage
Sage is a surname most notably associated with American actress Halston Sage, known for her roles in film and television.
- 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 Target entity description: Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
-
A.
Maxima
Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
B.
Wolfram
Wolfram is a masculine given name of Germanic origin, historically borne by several notable figures including military leaders and scholars.
-
C.
CAS (Computer Algebra System)
CAS (Computer Algebra System) is software that performs symbolic mathematical computations—such as algebraic manipulation, equation solving, and calculus operations—exactly rather than numerically.
-
D.
Berlekamp and Company
Berlekamp and Company is an investment management firm established by mathematician and coding theory pioneer Elwyn R. Berlekamp, known for applying quantitative and game-theoretic methods to financial markets.
-
E.
Sage
Sage is a surname most notably associated with American actress Halston Sage, known for her roles in film and television.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence company
ⓘ
computer company ⓘ technology company ⓘ |
| associatedWith |
Lisp programming language
ⓘ
MIT AI Lab hacker culture ⓘ |
| competedWith |
Lisp Machines, Inc.
ⓘ
Texas Instruments ⓘ Xerox PARC ⓘ
surface form:
Xerox AI Systems
|
| country |
United States of America
ⓘ
surface form:
United States
|
| developed |
3600 series Lisp machine architecture
ⓘ
Genera ⓘ Ivory microprocessor ⓘ Symbolics Common Lisp implementation ⓘ Symbolics Graphics Division products ⓘ Zetalisp ⓘ |
| faced | decline with rise of general-purpose workstations ⓘ |
| filedFor | bankruptcy protection in the 1990s ⓘ |
| foundedBy |
Dan Weinreb
ⓘ
Howard Cannon ⓘ Jack Holloway ⓘ Nick Gall ⓘ Rob Seliger ⓘ Russell Noftsker ⓘ Steve Berman ⓘ other former MIT AI Lab staff ⓘ |
| foundedIn | 1980 ⓘ |
| headquartersLocation | Cambridge, Massachusetts ⓘ |
| industry |
artificial intelligence
ⓘ
computer hardware ⓘ computer software ⓘ |
| knownFor |
advanced development environment for Lisp
ⓘ
supporting AI research in the 1980s ⓘ window-based user interface on Lisp machines ⓘ |
| laterHeadquartersLocation | Concord, Massachusetts ⓘ |
| notableEvent |
early commercial exploitation of Lisp machines
ⓘ
involvement in early AI commercialization wave ⓘ |
| notableFor |
Genera operating system
ⓘ
Symbolics 3600-series workstations ⓘ
surface form:
Lisp machines
Lisp-based workstations ⓘ contributions to artificial intelligence hardware ⓘ contributions to artificial intelligence software ⓘ development of specialized Lisp machine processors ⓘ |
| originatedFrom |
Computer Science and Artificial Intelligence Laboratory (CSAIL)
ⓘ
surface form:
MIT Artificial Intelligence Laboratory
|
| peakPeriod | 1980s ⓘ |
| product |
Symbolics 3600-series workstations
ⓘ
surface form:
Symbolics 3600 series
Symbolics 3600-series workstations ⓘ
surface form:
Symbolics 3640
Symbolics 3600-series workstations ⓘ
surface form:
Symbolics 3670
Symbolics 3600-series workstations ⓘ
surface form:
Symbolics MacIvory
Symbolics self-linksurface differs ⓘ
surface form:
Symbolics UX400
Symbolics self-linksurface differs ⓘ
surface form:
Symbolics XL1200
Symbolics 3600-series workstations ⓘ
surface form:
Symbolics XL400
|
| stockExchangeListing | NASDAQ ⓘ |
| wentPublic | 1984 ⓘ |
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 Description of subject: Symbolics was a pioneering American computer company best known for its Lisp-based workstations and contributions to artificial intelligence hardware and software in the 1980s.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Symbolics, Inc.
this entity surface form:
Symbolics XL1200