Aruna Batalvi
E541774
Aruna Batalvi was the wife of renowned Punjabi poet Shiv Kumar Batalvi and a significant figure in his personal life and legacy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Aruna Batalvi canonical | 1 |
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
Punjabi poet
ⓘ
person ⓘ |
| associatedWith | Punjabi literature ⓘ |
| countryOfCitizenship | India ⓘ |
| ethnicGroup | Punjabi people NERFINISHED ⓘ |
| familyName | Batalvi NERFINISHED ⓘ |
| languageOfWorkOrName | Punjabi ⓘ |
| maritalStatus | married to Shiv Kumar Batalvi NERFINISHED ⓘ |
| name | Aruna Batalvi NERFINISHED ⓘ |
| notableFor | being the wife of Punjabi poet Shiv Kumar Batalvi ⓘ |
| roleIn | legacy of Shiv Kumar Batalvi ⓘ |
| significanceIn | personal life of Shiv Kumar Batalvi ⓘ |
| spouse |
Aruna Batalvi
NERFINISHED
ⓘ
Shiv Kumar Batalvi 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: Aruna Batalvi Description of subject: Aruna Batalvi was the wife of renowned Punjabi poet Shiv Kumar Batalvi and a significant figure in his personal life and legacy.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.