Don Toliver
E94225
Don Toliver is an American rapper and singer known for his melodic trap style and collaborations with major artists like Travis Scott and Kanye West.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Don Toliver canonical | 87 |
| includesArtist Don Toliver | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T683176 — 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: Don Toliver Context triple: [Donda, featuresArtist, Don Toliver]
-
A.
Lil Durk
Lil Durk is an American rapper and singer from Chicago known for his melodic drill style and as a leading figure in the modern hip-hop scene.
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B.
Sheck Wes
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
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C.
Aminé
Aminé is an American rapper, singer, and songwriter known for his breakout hit "Caroline" and his eclectic, melodic approach to hip-hop.
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D.
Jon Bellion
Jon Bellion is an American singer, songwriter, rapper, and producer known for his genre-blending pop and hip-hop sound and for writing and producing hits for both himself and other major artists.
-
E.
Travis Scott
Travis Scott is an American rapper, singer, songwriter, and producer known for his atmospheric, genre-blending hip-hop and high-energy live performances.
- 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: Don Toliver Target entity description: Don Toliver is an American rapper and singer known for his melodic trap style and collaborations with major artists like Travis Scott and Kanye West.
-
A.
Lil Durk
Lil Durk is an American rapper and singer from Chicago known for his melodic drill style and as a leading figure in the modern hip-hop scene.
-
B.
Sheck Wes
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
-
C.
Aminé
Aminé is an American rapper, singer, and songwriter known for his breakout hit "Caroline" and his eclectic, melodic approach to hip-hop.
-
D.
Jon Bellion
Jon Bellion is an American singer, songwriter, rapper, and producer known for his genre-blending pop and hip-hop sound and for writing and producing hits for both himself and other major artists.
-
E.
Travis Scott
Travis Scott is an American rapper, singer, songwriter, and producer known for his atmospheric, genre-blending hip-hop and high-energy live performances.
- F. None of above. chosen
Statements (50)
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: Don Toliver Description of subject: Don Toliver is an American rapper and singer known for his melodic trap style and collaborations with major artists like Travis Scott and Kanye West.
Referenced by (88)
Full triples — surface form annotated when it differs from this entity's canonical label.