Richard Startz
E912539
Richard Startz is an economist and academic known for co-authoring the widely used textbook "Macroeconomics" with Rudiger Dornbusch.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Richard Startz canonical | 1 |
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
economics textbook ⓘ economist ⓘ |
| academicDiscipline | economics ⓘ |
| author |
Richard Startz
NERFINISHED
ⓘ
Rudiger Dornbusch NERFINISHED ⓘ |
| coAuthorOf | Macroeconomics NERFINISHED ⓘ |
| fieldOfWork |
economics
ⓘ
macroeconomics ⓘ |
| genre | textbook ⓘ |
| hasCoAuthor | Rudiger Dornbusch NERFINISHED ⓘ |
| knownFor | co-authoring the textbook "Macroeconomics" ⓘ |
| occupation |
economist
ⓘ
professor ⓘ |
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: Richard Startz Description of subject: Richard Startz is an economist and academic known for co-authoring the widely used textbook "Macroeconomics" with Rudiger Dornbusch.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.