Dirty John
E318521
Dirty John is a true-crime television series and podcast-based drama that chronicles a manipulative con man’s abusive relationships and their devastating consequences.
All labels observed (9)
| Label | Occurrences |
|---|---|
| Dirty John canonical | 26 |
| Dirty John (TV series) | 3 |
| Dirty John podcast | 2 |
| Dirty John: The Betty Broderick Story | 2 |
| TV series Dirty John | 2 |
| Dirty John case | 1 |
| Filthy John | 1 |
| Shannon in Dirty John | 1 |
| podcast Dirty John | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3004870 — 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: Dirty John Context triple: [Amanda Peet, notableWork, Dirty John]
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A.
Gone Girl
Gone Girl is a 2014 psychological thriller film, based on Gillian Flynn’s novel, that follows the mysterious disappearance of a woman and the ensuing media frenzy and suspicion surrounding her husband.
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B.
The Good Nurse
The Good Nurse is a 2022 crime drama film based on true events, following a compassionate nurse who helps expose a fellow nurse suspected of being a serial killer.
-
C.
Tell No One
Tell No One is a 2006 French thriller film, based on Harlan Coben’s novel, about a doctor who becomes entangled in a web of mystery and danger after receiving messages suggesting his murdered wife may still be alive.
-
D.
Crime of Passion
Crime of Passion is a 1957 American film noir drama starring Barbara Stanwyck and Sterling Hayden that explores the destructive consequences of ambition and marital dissatisfaction.
-
E.
American Crime
American Crime is an anthology crime drama television series that explores complex social and racial issues through interconnected stories of crime and its impact on victims, perpetrators, and communities.
- 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: Dirty John Target entity description: Dirty John is a true-crime television series and podcast-based drama that chronicles a manipulative con man’s abusive relationships and their devastating consequences.
-
A.
Gone Girl
Gone Girl is a 2014 psychological thriller film, based on Gillian Flynn’s novel, that follows the mysterious disappearance of a woman and the ensuing media frenzy and suspicion surrounding her husband.
-
B.
The Good Nurse
The Good Nurse is a 2022 crime drama film based on true events, following a compassionate nurse who helps expose a fellow nurse suspected of being a serial killer.
-
C.
Tell No One
Tell No One is a 2006 French thriller film, based on Harlan Coben’s novel, about a doctor who becomes entangled in a web of mystery and danger after receiving messages suggesting his murdered wife may still be alive.
-
D.
Crime of Passion
Crime of Passion is a 1957 American film noir drama starring Barbara Stanwyck and Sterling Hayden that explores the destructive consequences of ambition and marital dissatisfaction.
-
E.
American Crime
American Crime is an anthology crime drama television series that explores complex social and racial issues through interconnected stories of crime and its impact on victims, perpetrators, and communities.
- F. None of above. chosen
Statements (51)
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: Dirty John Description of subject: Dirty John is a true-crime television series and podcast-based drama that chronicles a manipulative con man’s abusive relationships and their devastating consequences.
Referenced by (39)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Dirty John
linked to: Dirty John
subject linked to:
Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John
linked to: Dirty John