Die Frau im Fenster
E441139
Die Frau im Fenster is a dramatic work by Austrian writer Hugo von Hofmannsthal, reflecting his early symbolist and psychological style.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Die Frau im Fenster canonical | 1 |
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
dramatic work
ⓘ
person ⓘ play ⓘ |
| author | Hugo von Hofmannsthal NERFINISHED ⓘ |
| countryOfCitizenship | Austria ⓘ |
| countryOfOrigin | Austria ⓘ |
| creator | Hugo von Hofmannsthal NERFINISHED ⓘ |
| genre | drama ⓘ |
| hasTitle | Die Frau im Fenster NERFINISHED ⓘ |
| isEarlyWorkOf | Hugo von Hofmannsthal NERFINISHED ⓘ |
| literaryMovement | Symbolism NERFINISHED ⓘ |
| occupation | writer ⓘ |
| originalLanguage | German ⓘ |
| partOf | Hugo von Hofmannsthal’s early works ⓘ |
| style |
psychological
ⓘ
symbolist ⓘ |
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: Die Frau im Fenster Description of subject: Die Frau im Fenster is a dramatic work by Austrian writer Hugo von Hofmannsthal, reflecting his early symbolist and psychological style.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.