Drunk History
E372966
Drunk History is a comedic television series in which inebriated narrators recount historical events that are then reenacted by actors.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Drunk History canonical | 13 |
| Drunk History (TV series) | 1 |
| Drunk History (UK) | 1 |
| Drunk History web series | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3621769 — 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: Drunk History Context triple: [Funny or Die, produced, Drunk History]
-
A.
Loose Canons
Loose Canons is a collection of essays by Henry Louis Gates Jr. that examines issues of race, literature, and the Western canon in contemporary cultural debates.
-
B.
Crash Course
Crash Course is an educational YouTube series that offers fast-paced, engaging video lessons on a wide range of academic subjects.
-
C.
My Side of History
My Side of History is the memoir of Chin Peng, the former leader of the Malayan Communist Party, recounting his role in the anti-colonial struggle and the Malayan Emergency.
-
D.
The History of Everything
"The History of Everything" is the fast-paced, science-themed theme song for the sitcom *The Big Bang Theory*, performed by the Canadian rock band Barenaked Ladies.
-
E.
Dirty Rotten Bastards
"Dirty Rotten Bastards" is a multi-part punk rock suite by Green Day, featured on their album ¡Tré!, known for its shifting tempos and politically charged lyrics.
- 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: Drunk History Target entity description: Drunk History is a comedic television series in which inebriated narrators recount historical events that are then reenacted by actors.
-
A.
Loose Canons
Loose Canons is a collection of essays by Henry Louis Gates Jr. that examines issues of race, literature, and the Western canon in contemporary cultural debates.
-
B.
Crash Course
Crash Course is an educational YouTube series that offers fast-paced, engaging video lessons on a wide range of academic subjects.
-
C.
My Side of History
My Side of History is the memoir of Chin Peng, the former leader of the Malayan Communist Party, recounting his role in the anti-colonial struggle and the Malayan Emergency.
-
D.
The History of Everything
"The History of Everything" is the fast-paced, science-themed theme song for the sitcom *The Big Bang Theory*, performed by the Canadian rock band Barenaked Ladies.
-
E.
Dirty Rotten Bastards
"Dirty Rotten Bastards" is a multi-part punk rock suite by Green Day, featured on their album ¡Tré!, known for its shifting tempos and politically charged lyrics.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
comedy television series
ⓘ
television series ⓘ |
| availableOn | streaming platforms ⓘ |
| basedOn |
Drunk History web series
ⓘ
linked to:
Drunk History
|
| contentRating | TV-14 ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| creator |
Derek Waters
ⓘ
Jeremy Konner ⓘ |
| debutYear | 2013 ⓘ |
| distributor | Comedy Central ⓘ |
| ended | 2019 ⓘ |
| filmingLocation | Los Angeles ⓘ |
| firstAired | 2013-07-09 ⓘ |
| firstAiredOnTelevision | Comedy Central ⓘ |
| firstTelevisionNetwork | Comedy Central ⓘ |
| format |
inebriated narrators recount historical events
ⓘ
reenactments performed by actors ⓘ |
| genre |
comedy
ⓘ
historical parody ⓘ |
| hasAward | Primetime Emmy Award for Outstanding Costumes for a Variety Program or a Special ⓘ |
| hasHost | Derek Waters ⓘ |
| hasSpinOffForm | digital shorts ⓘ |
| hasSubject |
American history
ⓘ
historical events ⓘ world history ⓘ |
| hasTheme |
humorous retelling of history
ⓘ
satire of educational programming ⓘ unreliable narration ⓘ |
| narrationStyle | drunk narration of historical events ⓘ |
| notableCastType |
comedians
ⓘ
film actors ⓘ guest actors ⓘ |
| notableFeature |
actors lip-sync to drunk narrators
ⓘ
use of real historical facts with comedic distortion ⓘ |
| numberOfEpisodes | 70 ⓘ |
| numberOfSeasons | 6 ⓘ |
| originalLanguage | English ⓘ |
| originallyAiredOn | American cable television ⓘ |
| originalNetwork | Comedy Central ⓘ |
| originatedAs | web series on Funny or Die ⓘ |
| productionCompany |
Central Productions
ⓘ
Gary Sanchez Productions ⓘ |
| receivedNomination | Primetime Emmy Award for Outstanding Variety Sketch Series ⓘ |
| settingStyle | anthology of different historical periods ⓘ |
| targetAudience | adults ⓘ |
| typicalEpisodeLength | 22 minutes ⓘ |
| usesDevice | lip-synced reenactments ⓘ |
| webSeriesDebutYear | 2007 ⓘ |
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: Drunk History Description of subject: Drunk History is a comedic television series in which inebriated narrators recount historical events that are then reenacted by actors.
Referenced by (16)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Drunk History
linked to: Drunk History
linked to: Drunk History