Dan Weinreb
E776871
Dan Weinreb was an American computer scientist and software engineer best known for his pioneering work on Lisp machines and contributions to the Symbolics company and the broader Lisp community.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dan Weinreb canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8472130 — 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: Dan Weinreb Context triple: [Symbolics, foundedBy, Dan Weinreb]
-
A.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
B.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
-
C.
Dan Greenburg
Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
-
D.
Tom Mendelsohn
Tom Mendelsohn is an Australian man known primarily as the brother of acclaimed actor Ben Mendelsohn.
-
E.
Edwin Schlossberg
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
- 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: Dan Weinreb Target entity description: Dan Weinreb was an American computer scientist and software engineer best known for his pioneering work on Lisp machines and contributions to the Symbolics company and the broader Lisp community.
-
A.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
B.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
-
C.
Dan Greenburg
Dan Greenburg is an American author and humorist best known for his satirical books and children's series such as "The Zack Files."
-
D.
Tom Mendelsohn
Tom Mendelsohn is an Australian man known primarily as the brother of acclaimed actor Ben Mendelsohn.
-
E.
Edwin Schlossberg
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
American
ⓘ
computer scientist ⓘ software engineer ⓘ |
| contributedTo |
commercialization of Lisp machines at Symbolics
ⓘ
design of software systems for airline reservation search (ITA Software) ⓘ development of Lisp machines ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| educatedAt | Massachusetts Institute of Technology ⓘ |
| employer |
Google
ⓘ
ITA Software NERFINISHED ⓘ Symbolics NERFINISHED ⓘ |
| fieldOfWork |
Lisp
NERFINISHED
ⓘ
computer science ⓘ programming languages ⓘ software engineering ⓘ |
| gender | male ⓘ |
| knownFor |
contributions to Symbolics
ⓘ
contributions to the Lisp community ⓘ work on Lisp machines ⓘ |
| languageSpoken | English ⓘ |
| memberOf | Lisp community ⓘ |
| notableWork |
work on Lisp Machine operating systems
ⓘ
work on Lisp Machine software at Symbolics ⓘ |
| programmingLanguage |
Common Lisp
NERFINISHED
ⓘ
Lisp NERFINISHED ⓘ |
| workedOn |
Lisp Machine at MIT
NERFINISHED
ⓘ
Symbolics Lisp Machine NERFINISHED ⓘ large-scale airline pricing and search systems ⓘ |
| wroteAbout |
Lisp machines
NERFINISHED
ⓘ
history of Lisp ⓘ |
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: Dan Weinreb Description of subject: Dan Weinreb was an American computer scientist and software engineer best known for his pioneering work on Lisp machines and contributions to the Symbolics company and the broader Lisp community.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.