DeVon Harris
E40392
DeVon Harris is a songwriter best known for his work on the track "So High."
All labels observed (1)
| Label | Occurrences |
|---|---|
| DeVon Harris canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T268828 — 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: DeVon Harris Context triple: [So High, writer, DeVon Harris]
-
A.
Patrick Carr
Patrick Carr was one of the five colonists fatally wounded in the 1770 Boston Massacre, whose death helped inflame anti-British sentiment in the American colonies.
-
B.
Rasheed Wallace
Rasheed Wallace is a former NBA All-Star power forward known for his versatile scoring, defensive intensity, and fiery on-court demeanor, who won a championship with the Detroit Pistons.
-
C.
Chauncey Billups
Chauncey Billups is a former NBA All-Star point guard and Finals MVP who became an NBA head coach after a successful playing career highlighted by his leadership and clutch performances.
-
D.
Kevin Terry
Kevin Terry is an American soccer referee best known for officiating at the highest levels of U.S. professional soccer, including Major League Soccer championship matches.
-
E.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
- 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: DeVon Harris Target entity description: DeVon Harris is a songwriter best known for his work on the track "So High."
-
A.
Patrick Carr
Patrick Carr was one of the five colonists fatally wounded in the 1770 Boston Massacre, whose death helped inflame anti-British sentiment in the American colonies.
-
B.
Rasheed Wallace
Rasheed Wallace is a former NBA All-Star power forward known for his versatile scoring, defensive intensity, and fiery on-court demeanor, who won a championship with the Detroit Pistons.
-
C.
Chauncey Billups
Chauncey Billups is a former NBA All-Star point guard and Finals MVP who became an NBA head coach after a successful playing career highlighted by his leadership and clutch performances.
-
D.
Kevin Terry
Kevin Terry is an American soccer referee best known for officiating at the highest levels of U.S. professional soccer, including Major League Soccer championship matches.
-
E.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
- F. None of above. chosen
Statements (5)
| Predicate | Object |
|---|---|
| instanceOf | songwriter ⓘ |
| knownFor |
So High
ⓘ
songwriting ⓘ |
| notableWork | So High ⓘ |
| occupation | songwriter ⓘ |
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: DeVon Harris Description of subject: DeVon Harris is a songwriter best known for his work on the track "So High."
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.