Michael Resnick
E726901
Michael Resnick is an American science fiction author and editor known for his prolific output and multiple Hugo Award–winning works.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Resnick canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8251155 — 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 Resnick Context triple: [Resnick, hasNotableBearer, Michael Resnick]
-
A.
David S. Kaufman
David S. Kaufman was a 19th-century Texas politician and statesman who served as a U.S. Congressman and played a significant role in the early political development of Texas.
-
B.
Mark Blum
Mark Blum was an American actor known for his work in film, television, and theater, including notable roles in movies like "Desperately Seeking Susan" and "Crocodile Dundee."
-
C.
Jeff Kodosky
Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
-
D.
Scott J. Horowitz
Scott J. Horowitz is a former NASA astronaut and U.S. Air Force colonel who flew on four Space Shuttle missions in the 1990s and early 2000s.
-
E.
Aaron Kandell
Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
- 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 Resnick Target entity description: Michael Resnick is an American science fiction author and editor known for his prolific output and multiple Hugo Award–winning works.
-
A.
David S. Kaufman
David S. Kaufman was a 19th-century Texas politician and statesman who served as a U.S. Congressman and played a significant role in the early political development of Texas.
-
B.
Mark Blum
Mark Blum was an American actor known for his work in film, television, and theater, including notable roles in movies like "Desperately Seeking Susan" and "Crocodile Dundee."
-
C.
Jeff Kodosky
Jeff Kodosky is an American engineer and co-founder of National Instruments, best known as the "father of LabVIEW" for creating the influential graphical programming environment.
-
D.
Scott J. Horowitz
Scott J. Horowitz is a former NASA astronaut and U.S. Air Force colonel who flew on four Space Shuttle missions in the 1990s and early 2000s.
-
E.
Aaron Kandell
Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
- F. None of above. chosen
Statements (44)
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 Resnick Description of subject: Michael Resnick is an American science fiction author and editor known for his prolific output and multiple Hugo Award–winning works.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.