Andheri Raat Mein Diya Tere Haath
E822236
Andheri Raat Mein Diya Tere Haath is a Hindi film best known for featuring Indian actress and former Miss India Persis Khambatta in a prominent role.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Andheri Raat Mein Diya Tere Haath canonical | 1 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
Hindi-language film
ⓘ
Indian actress ⓘ film ⓘ person ⓘ |
| awardReceived | Femina Miss India NERFINISHED ⓘ |
| countryOfCitizenship | India ⓘ |
| countryOfOrigin | India ⓘ |
| genre | Indian film ⓘ |
| hasCastMember | Persis Khambatta NERFINISHED ⓘ |
| language | Hindi ⓘ |
| notableFor | featuring Persis Khambatta in a prominent role ⓘ |
| notableWork | Andheri Raat Mein Diya Tere Haath NERFINISHED ⓘ |
| occupation |
actress
ⓘ
model ⓘ |
| starring | Persis Khambatta 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: Andheri Raat Mein Diya Tere Haath Description of subject: Andheri Raat Mein Diya Tere Haath is a Hindi film best known for featuring Indian actress and former Miss India Persis Khambatta in a prominent role.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.