Finding Nemo
E46396
Finding Nemo is a 2003 computer-animated adventure film about a clownfish’s ocean-spanning quest to rescue his captured son, widely acclaimed for its storytelling, visuals, and emotional depth.
All labels observed (12)
| Label | Occurrences |
|---|---|
| Finding Nemo canonical | 82 |
| Finding Nemo franchise | 12 |
| Finding Nemo (2003 film) | 3 |
| Finding Nemo universe | 2 |
| 2003 film Finding Nemo | 1 |
| Disney-Pixar Finding Nemo | 1 |
| Finding Nemo (2003) | 1 |
| Finding Nemo (film score) | 1 |
| Finding Nemo 3D (re-release involvement) | 1 |
| Finding Nemo film series | 1 |
| Finding Nemo series | 1 |
| Nemo | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T364549 — 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.
Target entity: Finding Nemo Context triple: [Pixar Animation Studios, notableWork, Finding Nemo]
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A.
The Seas with Nemo & Friends
The Seas with Nemo & Friends is an ocean-themed pavilion and attraction at EPCOT that combines characters from Disney-Pixar’s Finding Nemo with one of the world’s largest saltwater aquariums.
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B.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
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C.
Remy’s Ratatouille Adventure
Remy’s Ratatouille Adventure is a trackless 4D dark ride at EPCOT that shrinks guests to rat-size to experience a chaotic culinary adventure through Gusteau’s restaurant from Disney-Pixar’s Ratatouille.
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D.
Zootopia
Zootopia is a 2016 Disney animated film set in a modern, anthropomorphic animal city where a rookie rabbit cop and a sly fox team up to solve a major conspiracy.
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E.
The Big Tuna
The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Finding Nemo Target entity description: Finding Nemo is a 2003 computer-animated adventure film about a clownfish’s ocean-spanning quest to rescue his captured son, widely acclaimed for its storytelling, visuals, and emotional depth.
-
A.
The Seas with Nemo & Friends
The Seas with Nemo & Friends is an ocean-themed pavilion and attraction at EPCOT that combines characters from Disney-Pixar’s Finding Nemo with one of the world’s largest saltwater aquariums.
-
B.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
C.
Remy’s Ratatouille Adventure
Remy’s Ratatouille Adventure is a trackless 4D dark ride at EPCOT that shrinks guests to rat-size to experience a chaotic culinary adventure through Gusteau’s restaurant from Disney-Pixar’s Ratatouille.
-
D.
Zootopia
Zootopia is a 2016 Disney animated film set in a modern, anthropomorphic animal city where a rookie rabbit cop and a sly fox team up to solve a major conspiracy.
-
E.
The Big Tuna
The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
- F. None of above. chosen
Statements (69)
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.
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.
Subject: Finding Nemo Description of subject: Finding Nemo is a 2003 computer-animated adventure film about a clownfish’s ocean-spanning quest to rescue his captured son, widely acclaimed for its storytelling, visuals, and emotional depth.
Referenced by (107)
Full triples — surface form annotated when it differs from this entity's canonical label.