Ted Shebib
E333040
Ted Shebib is the father of Canadian record producer and songwriter Noah "40" Shebib.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ted Shebib canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3172998 — 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: Ted Shebib Context triple: [Noah Shebib, parent, Ted Shebib]
-
A.
Dan Morgenstern
Dan Morgenstern is an American jazz historian, critic, and archivist renowned for his leadership of the Institute of Jazz Studies and his Grammy-winning liner notes.
-
B.
Andrew Barto
Andrew Barto is an American computer scientist and a pioneering researcher in reinforcement learning, known for co-authoring the influential textbook "Reinforcement Learning: An Introduction."
-
C.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
-
D.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
E.
Stephen Schaffer
Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
- 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: Ted Shebib Target entity description: Ted Shebib is the father of Canadian record producer and songwriter Noah "40" Shebib.
-
A.
Dan Morgenstern
Dan Morgenstern is an American jazz historian, critic, and archivist renowned for his leadership of the Institute of Jazz Studies and his Grammy-winning liner notes.
-
B.
Andrew Barto
Andrew Barto is an American computer scientist and a pioneering researcher in reinforcement learning, known for co-authoring the influential textbook "Reinforcement Learning: An Introduction."
-
C.
Jeffrey Auerbach
Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
-
D.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
E.
Stephen Schaffer
Stephen Schaffer is a film editor best known for his work on major animated features, including Pixar's acclaimed movie WALL-E.
- F. None of above. chosen
Statements (6)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| child |
Noah "40" Shebib
ⓘ
Noah Shebib ⓘ |
| countryOfCitizenship | Canada ⓘ |
| father | Ted Shebib ⓘ |
| notableRelative | Noah "40" Shebib ⓘ |
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: Ted Shebib Description of subject: Ted Shebib is the father of Canadian record producer and songwriter Noah "40" Shebib.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Ted Shebib