Mina Sundwall
E469240
Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mina Sundwall canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4750767 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mina Sundwall Context triple: [Lost in Space (2018 TV series), portrayedBy, Mina Sundwall]
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A.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
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B.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
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C.
Kikki Danielsson
Kikki Danielsson is a Swedish country and dansband singer best known for her successful solo career and multiple appearances in the Eurovision Song Contest and Melodifestivalen.
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D.
Pia Lindström
Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
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E.
Marianne Dahlbäck
Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mina Sundwall Target entity description: Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
-
A.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
-
B.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
-
C.
Kikki Danielsson
Kikki Danielsson is a Swedish country and dansband singer best known for her successful solo career and multiple appearances in the Eurovision Song Contest and Melodifestivalen.
-
D.
Pia Lindström
Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
-
E.
Marianne Dahlbäck
Marianne Dahlbäck is a Swedish architect best known for co-designing Stockholm’s Vasa Museum, one of Scandinavia’s most visited cultural landmarks.
- F. None of above. chosen
Statements (29)
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: Mina Sundwall Description of subject: Mina Sundwall is an American actress best known for playing Penny Robinson in the Netflix science fiction series "Lost in Space."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.