Hannah Smith
E399326
Hannah Smith is an individual known primarily as the sister of Sophia Smith.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hannah Smith canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3939336 — 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: Hannah Smith Context triple: [Sophia Smith, sibling, Hannah Smith]
-
A.
Hannah Hudson
Hannah Hudson was the wife of colonial Massachusetts governor and Harvard College president John Leverett, known primarily through her association with his prominent political and academic career in early 18th-century New England.
-
B.
Hayley Smith
Hayley Smith is a politically liberal, rebellious college-aged character from the animated TV series "American Dad!", known as the daughter of Stan and Francine Smith.
-
C.
Hannah Jane Shepard
Hannah Jane Shepard is the daughter of the late American playwright and actor Sam Shepard and actress Jessica Lange.
-
D.
Hannah Emily Anderson
Hannah Emily Anderson is a Canadian actress known for her roles in genre television and film, including a leading role in the TV adaptation of "The Purge."
-
E.
Hannah Gurney
Hannah Gurney was a member of the prominent Quaker Gurney family of Norwich, known for her connections to leading 19th-century British social reformers.
- 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: Hannah Smith Target entity description: Hannah Smith is an individual known primarily as the sister of Sophia Smith.
-
A.
Hannah Hudson
Hannah Hudson was the wife of colonial Massachusetts governor and Harvard College president John Leverett, known primarily through her association with his prominent political and academic career in early 18th-century New England.
-
B.
Hayley Smith
Hayley Smith is a politically liberal, rebellious college-aged character from the animated TV series "American Dad!", known as the daughter of Stan and Francine Smith.
-
C.
Hannah Jane Shepard
Hannah Jane Shepard is the daughter of the late American playwright and actor Sam Shepard and actress Jessica Lange.
-
D.
Hannah Emily Anderson
Hannah Emily Anderson is a Canadian actress known for her roles in genre television and film, including a leading role in the TV adaptation of "The Purge."
-
E.
Hannah Gurney
Hannah Gurney was a member of the prominent Quaker Gurney family of Norwich, known for her connections to leading 19th-century British social reformers.
- F. None of above. chosen
Statements (2)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| hasSibling | Sophia Smith ⓘ |
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: Hannah Smith Description of subject: Hannah Smith is an individual known primarily as the sister of Sophia Smith.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.