Vlissides
E679862
Vlissides is the surname of John Vlissides, a prominent software engineer best known as one of the "Gang of Four" authors of the influential book *Design Patterns: Elements of Reusable Object-Oriented Software*.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Vlissides canonical | 1 |
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
group of authors ⓘ person ⓘ software engineer ⓘ surname ⓘ |
| author | John Vlissides NERFINISHED ⓘ |
| familyName | Vlissides NERFINISHED ⓘ |
| givenName | John NERFINISHED ⓘ |
| hasMember | John Vlissides NERFINISHED ⓘ |
| hasNotableBearer | John Vlissides NERFINISHED ⓘ |
| languageOfOrigin | Greek ⓘ |
| memberOf | Gang of Four NERFINISHED ⓘ |
| notableWork | Design Patterns: Elements of Reusable Object-Oriented Software NERFINISHED ⓘ |
| usedBy | John Vlissides NERFINISHED ⓘ |
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: Vlissides Description of subject: Vlissides is the surname of John Vlissides, a prominent software engineer best known as one of the "Gang of Four" authors of the influential book *Design Patterns: Elements of Reusable Object-Oriented Software*.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.