Anna-Lisa Hansson
E438673
Anna-Lisa Hansson was a daughter of Swedish Prime Minister Per Albin Hansson and a member of his prominent political family.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Anna-Lisa Hansson canonical | 1 |
| Margit Hansson | 1 |
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
family
ⓘ
human ⓘ human ⓘ |
| childOf | Per Albin Hansson NERFINISHED ⓘ |
| country | Sweden ⓘ |
| countryOfCitizenship | Sweden ⓘ |
| familyName | Hansson NERFINISHED ⓘ |
| givenName | Anna-Lisa NERFINISHED ⓘ |
| hasChild | Anna-Lisa Hansson NERFINISHED ⓘ |
| hasMember |
Anna-Lisa Hansson
NERFINISHED
ⓘ
Per Albin Hansson NERFINISHED ⓘ |
| memberOf | Hansson family NERFINISHED ⓘ |
| notableFamilyMember | Per Albin Hansson NERFINISHED ⓘ |
| positionHeld | Prime Minister of Sweden 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: Anna-Lisa Hansson Description of subject: Anna-Lisa Hansson was a daughter of Swedish Prime Minister Per Albin Hansson and a member of his prominent political family.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Margit Hansson