Prix Charles-Olivier de Penanster
E159779
The Prix Charles-Olivier de Penanster is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize distinguished work in the moral and political sciences.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Prix Charles-Olivier de Penanster canonical | 1 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
French award
ⓘ
academic award ⓘ |
| awardFor | distinguished work in the moral and political sciences ⓘ |
| awardGivenBy | Académie des Sciences Morales et Politiques ⓘ |
| awardType | prize in moral and political sciences ⓘ |
| category | scholarly prize ⓘ |
| country | France ⓘ |
| discipline | moral and political sciences ⓘ |
| field |
moral sciences
ⓘ
political sciences ⓘ |
| inception | unknown ⓘ |
| languageOfName | français ⓘ |
| namedAfter | Charles-Olivier de Penanster ⓘ |
| namedInLanguage | French ⓘ |
| presentingOrganization | Académie des Sciences Morales et Politiques ⓘ |
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: Prix Charles-Olivier de Penanster Description of subject: The Prix Charles-Olivier de Penanster is a French scholarly prize awarded by the Académie des Sciences Morales et Politiques to recognize distinguished work in the moral and political sciences.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.