Flaked
E319393
Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Flaked canonical | 2 |
| Flaked season 2 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3003700 — 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: Flaked Context triple: [Will Arnett, notableWork, Flaked]
-
A.
In Like Flint
In Like Flint is a 1967 American spy comedy film starring James Coburn as superspy Derek Flint in a parody of the James Bond genre.
-
B.
The Folding Up
The Folding Up is the English translation of the name of Surah At-Takwir, a chapter of the Qur’an that vividly describes the cosmic upheavals of the Day of Judgment.
-
C.
Uproar
"Uproar" is a popular 2018 hip-hop single by Lil Wayne, known for its energetic beat, viral dance challenge, and prominent use of a classic G Herbo/DMX-style sample.
-
D.
Grit and Grind
Grit and Grind is the hard-nosed, defense-first identity and era of the Memphis Grizzlies defined by physical play, toughness, and blue-collar resilience.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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: Flaked Target entity description: Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
-
A.
In Like Flint
In Like Flint is a 1967 American spy comedy film starring James Coburn as superspy Derek Flint in a parody of the James Bond genre.
-
B.
The Folding Up
The Folding Up is the English translation of the name of Surah At-Takwir, a chapter of the Qur’an that vividly describes the cosmic upheavals of the Day of Judgment.
-
C.
Uproar
"Uproar" is a popular 2018 hip-hop single by Lil Wayne, known for its energetic beat, viral dance challenge, and prominent use of a classic G Herbo/DMX-style sample.
-
D.
Grit and Grind
Grit and Grind is the hard-nosed, defense-first identity and era of the Memphis Grizzlies defined by physical play, toughness, and blue-collar resilience.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- F. None of above. chosen
Statements (43)
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: Flaked Description of subject: Flaked is a Netflix dramedy series co-created by and starring Will Arnett as a self-help guru in Venice, California, whose carefully constructed life begins to unravel.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.