Fast & Furious (2009 film)
E733916
Fast & Furious (2009 film) is the fourth installment in the Fast & Furious action franchise, reuniting Vin Diesel and Paul Walker in a high-speed tale of street racing and crime.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Fast & Furious (2009 film) canonical | 10 |
| Fast & Furious | 3 |
| Fast & Furious (film appearance) | 1 |
| Fast & Furious 4 | 1 |
| Fast & Furious 4–6 and 9 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8447440 — 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: Fast & Furious (2009 film) Context triple: [Gal Gadot, notableWork, Fast & Furious (2009 film)]
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A.
The Fast and the Furious (2001 film)
The Fast and the Furious is a 2001 action film that launched the long-running Fast & Furious franchise, focusing on illegal street racing, heists, and the bond between an undercover cop and a skilled street racer.
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B.
Fast & Furious
Fast & Furious is a blockbuster action film franchise centered on high-speed street racing, elaborate heists, and a tight-knit crew that treats each other like family.
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C.
The Fast and the Furious: Tokyo Drift
The Fast and the Furious: Tokyo Drift is a 2006 action film in the Fast & Furious franchise that centers on underground drift racing culture in Tokyo, Japan.
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D.
Fast & Furious 6
Fast & Furious 6 is a 2013 action film in the Fast & Furious franchise that follows Dominic Toretto’s crew as they work with a federal agent to take down a skilled mercenary organization across Europe.
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E.
2 Fast 2 Furious
2 Fast 2 Furious is a 2003 action film in the Fast & Furious franchise that follows ex-cop Brian O'Conner as he goes undercover in Miami's street racing scene to take down a drug lord.
- 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: Fast & Furious (2009 film) Target entity description: Fast & Furious (2009 film) is the fourth installment in the Fast & Furious action franchise, reuniting Vin Diesel and Paul Walker in a high-speed tale of street racing and crime.
-
A.
The Fast and the Furious (2001 film)
The Fast and the Furious is a 2001 action film that launched the long-running Fast & Furious franchise, focusing on illegal street racing, heists, and the bond between an undercover cop and a skilled street racer.
-
B.
Fast & Furious
Fast & Furious is a blockbuster action film franchise centered on high-speed street racing, elaborate heists, and a tight-knit crew that treats each other like family.
-
C.
The Fast and the Furious: Tokyo Drift
The Fast and the Furious: Tokyo Drift is a 2006 action film in the Fast & Furious franchise that centers on underground drift racing culture in Tokyo, Japan.
-
D.
Fast & Furious 6
Fast & Furious 6 is a 2013 action film in the Fast & Furious franchise that follows Dominic Toretto’s crew as they work with a federal agent to take down a skilled mercenary organization across Europe.
-
E.
2 Fast 2 Furious
2 Fast 2 Furious is a 2003 action film in the Fast & Furious franchise that follows ex-cop Brian O'Conner as he goes undercover in Miami's street racing scene to take down a drug lord.
- F. None of above. chosen
Statements (47)
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: Fast & Furious (2009 film) Description of subject: Fast & Furious (2009 film) is the fourth installment in the Fast & Furious action franchise, reuniting Vin Diesel and Paul Walker in a high-speed tale of street racing and crime.
Referenced by (16)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Fast & Furious (2009 film)
linked to: Fast & Furious (2009 film)
linked to: Fast & Furious (2009 film)
subject linked to:
Javier J. Rivera in Fast & Furious franchise
subject linked to:
Arturo Braga in Fast & Furious
subject linked to:
Lin Yipeng
linked to: Fast & Furious (2009 film)
subject linked to:
Agent Michael Stasiak in Fast & Furious franchise
subject linked to:
Agent Michael Stasiak in Fast & Furious franchise
subject linked to:
Agent Michael Stasiak in Fast & Furious franchise
linked to: Fast & Furious (2009 film)
subject linked to:
Los Bandoleros (film appearance)
linked to: Fast & Furious (2009 film)