John Syme
E714138
John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
All labels observed (1)
| Label | Occurrences |
|---|---|
| John Syme canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8134484 — 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: John Syme Context triple: [Sarah Winston Syme Henry, spouse, John Syme]
-
A.
William Praed
William Praed was a prominent English banker and politician of the late 18th and early 19th centuries.
-
B.
John Bevan
John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
-
C.
Michael Britten
Michael Britten is the protagonist of the television series "Awake," a police detective who simultaneously experiences two alternate realities following a car accident.
-
D.
Robert Hill
Robert Hill was a screenwriter known for his work on the film "The Big Operator" and other mid-20th-century American movies.
-
E.
George Lloyd
George Lloyd was an American character actor active in the mid-20th century, appearing in numerous films and serials, often in supporting or bit roles.
- 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: John Syme Target entity description: John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
-
A.
William Praed
William Praed was a prominent English banker and politician of the late 18th and early 19th centuries.
-
B.
John Bevan
John Bevan was a British intelligence officer who played a key role in planning and overseeing Allied deception operations during World War II.
-
C.
Michael Britten
Michael Britten is the protagonist of the television series "Awake," a police detective who simultaneously experiences two alternate realities following a car accident.
-
D.
Robert Hill
Robert Hill was a screenwriter known for his work on the film "The Big Operator" and other mid-20th-century American movies.
-
E.
George Lloyd
George Lloyd was an American character actor active in the mid-20th century, appearing in numerous films and serials, often in supporting or bit roles.
- F. None of above. chosen
Statements (6)
| Predicate | Object |
|---|---|
| instanceOf | person ⓘ |
| countryOfCitizenship | Colonial America ⓘ |
| notableFamilyConnection | Henry family of Virginia ⓘ |
| residence | Virginia ⓘ |
| spouse | Sarah Winston Syme Henry ⓘ |
| timePeriod | Colonial era ⓘ |
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: John Syme Description of subject: John Syme was the husband of Sarah Winston Syme Henry, connecting him to the prominent colonial Henry family of Virginia.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.