Andrew J. Novobilski
E791139
Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Andrew J. Novobilski canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9004206 — 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: Andrew J. Novobilski Context triple: [Brad Cox, coAuthorWith, Andrew J. Novobilski]
-
A.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
B.
Andrew G. Vajna
Andrew G. Vajna was a Hungarian-American film producer best known for backing major action franchises such as the Rambo and Terminator series.
-
C.
Scott D. Rychnovsky
Scott D. Rychnovsky is an American organic chemist known for his contributions to synthetic methodology and complex molecule synthesis.
-
D.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
E.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
- 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: Andrew J. Novobilski Target entity description: Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
-
A.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
B.
Andrew G. Vajna
Andrew G. Vajna was a Hungarian-American film producer best known for backing major action franchises such as the Rambo and Terminator series.
-
C.
Scott D. Rychnovsky
Scott D. Rychnovsky is an American organic chemist known for his contributions to synthetic methodology and complex molecule synthesis.
-
D.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
E.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf | computer scientist ⓘ |
| coAuthorWith | Brad Cox ⓘ |
| fieldOfWork |
computer science
ⓘ
programming languages ⓘ |
| hasFamilyName | Novobilski ⓘ |
| hasGivenName | Andrew ⓘ |
| knownFor | work on the Objective-C programming language ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableWork | book on Objective-C co-written with Brad Cox ⓘ |
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: Andrew J. Novobilski Description of subject: Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.