Jeff Megall
E761713
Jeff Megall is a slick Hollywood super-agent in "Thank You for Smoking" who specializes in spinning controversial topics and product placement to the media’s advantage.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jeff Megall canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8766447 — 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: Jeff Megall Context triple: [Thank You for Smoking, character, Jeff Megall]
-
A.
Ian Megibben
Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
-
B.
Michael Roberds
Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
-
C.
Greg Maffei
Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
-
D.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
-
E.
Jeffrey Fuller
Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
- 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: Jeff Megall Target entity description: Jeff Megall is a slick Hollywood super-agent in "Thank You for Smoking" who specializes in spinning controversial topics and product placement to the media’s advantage.
-
A.
Ian Megibben
Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
-
B.
Michael Roberds
Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
-
C.
Greg Maffei
Greg Maffei is an American business executive best known as the longtime president and CEO of Liberty Media, overseeing its diverse portfolio of media, communications, and entertainment assets.
-
D.
Paul Merolla
Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
-
E.
Jeffrey Fuller
Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
talent agent ⓘ |
| appearsIn | Thank You for Smoking ⓘ |
| associatedWith |
Hollywood
ⓘ
film industry ⓘ |
| basedOnWorkType | satirical comedy ⓘ |
| fictionalUniverse |
Thank You for Smoking universe
ⓘ
linked to:
Thank You for Smoking
|
| narrativeFunction | satire of Hollywood PR culture ⓘ |
| notableFor |
turning controversy into marketing opportunities
ⓘ
using media spin to benefit clients ⓘ |
| occupation | Hollywood super-agent ⓘ |
| portrayedAs |
media-savvy
ⓘ
morally flexible ⓘ slick ⓘ |
| roleInWork | supporting character in Thank You for Smoking ⓘ |
| specializesIn |
media manipulation
ⓘ
product placement deals ⓘ spinning controversial topics ⓘ |
| workField |
product placement
ⓘ
public relations ⓘ |
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: Jeff Megall Description of subject: Jeff Megall is a slick Hollywood super-agent in "Thank You for Smoking" who specializes in spinning controversial topics and product placement to the media’s advantage.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.