Finding Dory
E46738
adventure film
animated film
comedy film
computer-animated film
family film
feature film
sequel film
Finding Dory is a 2016 animated adventure-comedy film that follows the forgetful fish Dory on a journey to reunite with her parents, serving as a sequel to Pixar's Finding Nemo.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Finding Dory canonical | 56 |
| Finding Dory (2016) | 2 |
| "Finding Dory" | 1 |
| 2016 animated film Finding Dory | 1 |
| Finding Dory (2016 film) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T364558 — 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: Finding Dory Context triple: [Pixar Animation Studios, notableWork, Finding Dory]
-
A.
Finding Nemo
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.
-
B.
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.
-
C.
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.
-
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.
Aquaman
Aquaman is a 2018 DC Comics-based superhero film centered on Arthur Curry, the half-human heir to the underwater kingdom of Atlantis, as he struggles to embrace his destiny and prevent a war between land and sea.
- 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: Finding Dory Target entity description: Finding Dory is a 2016 animated adventure-comedy film that follows the forgetful fish Dory on a journey to reunite with her parents, serving as a sequel to Pixar's Finding Nemo.
-
A.
Finding Nemo
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.
-
B.
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.
-
C.
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.
-
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.
Aquaman
Aquaman is a 2018 DC Comics-based superhero film centered on Arthur Curry, the half-human heir to the underwater kingdom of Atlantis, as he struggles to embrace his destiny and prevent a war between land and sea.
- F. None of above. chosen
Statements (60)
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: Finding Dory Description of subject: Finding Dory is a 2016 animated adventure-comedy film that follows the forgetful fish Dory on a journey to reunite with her parents, serving as a sequel to Pixar's Finding Nemo.
Referenced by (61)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Dory in Finding Dory
subject linked to:
Dory in Finding Dory
linked to: Finding Dory
linked to: Finding Dory
linked to: Finding Dory
subject linked to:
Mr. Ray in Finding Nemo