Michael Suski
E331492
Michael Suski is a writer known for his work associated with the musical project Selah.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Suski canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3154411 — 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: Michael Suski Context triple: [Selah, writer, Michael Suski]
-
A.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
B.
Joshua Bowman
Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
-
C.
Lance Leipold
Lance Leipold is an American college football coach known for successfully rebuilding programs, most notably turning around the University of Kansas Jayhawks football team after winning multiple Division III national titles at Wisconsin–Whitewater.
-
D.
John Hoberg
John Hoberg is an American television and film writer known for his work on animated and live-action projects, including co-writing the Pixar film "Elemental."
-
E.
Jeff Nickell
Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
- 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: Michael Suski Target entity description: Michael Suski is a writer known for his work associated with the musical project Selah.
-
A.
Brett Veach
Brett Veach is an American football executive best known for building multiple Super Bowl–winning rosters as the general manager of the Kansas City Chiefs.
-
B.
Joshua Bowman
Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
-
C.
Lance Leipold
Lance Leipold is an American college football coach known for successfully rebuilding programs, most notably turning around the University of Kansas Jayhawks football team after winning multiple Division III national titles at Wisconsin–Whitewater.
-
D.
John Hoberg
John Hoberg is an American television and film writer known for his work on animated and live-action projects, including co-writing the Pixar film "Elemental."
-
E.
Jeff Nickell
Jeff Nickell is an individual notable enough to be specifically referenced as a bearer of the surname Nickell.
- F. None of above. chosen
Statements (4)
| Predicate | Object |
|---|---|
| instanceOf | writer ⓘ |
| associatedWith |
musical project Selah
ⓘ
linked to:
Selah
|
| knownFor | Selah ⓘ |
| occupation | writer ⓘ |
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: Michael Suski Description of subject: Michael Suski is a writer known for his work associated with the musical project Selah.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.