Old Yeller
E82505
Old Yeller is a classic 1957 American family drama film about a boy and his loyal dog on the Texas frontier, renowned for its emotional impact and enduring popularity.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Old Yeller canonical | 17 |
| Old Yeller (1957 film) | 2 |
| Old Yeller universe | 2 |
| 1957 film Old Yeller | 1 |
| Old Yeller (novel) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T658238 — 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: Old Yeller Context triple: [Dorothy McGuire, notableWork, Old Yeller]
-
A.
K-9 and Company
K-9 and Company is a British science-fiction television series set in the Doctor Who universe, featuring the Doctor’s robotic dog K-9 and former companion Sarah Jane Smith in their own adventures.
-
B.
Little Turtle's War
Little Turtle's War was a late 18th-century conflict between a confederation of Native American tribes and the United States over control of the Northwest Territory, named after the Miami war chief Little Turtle who led many of the Native forces.
-
C.
Bullet the Wonder Dog
Bullet the Wonder Dog was Roy Rogers’ famous German Shepherd sidekick, known for appearing in his Western films and television shows as a heroic and intelligent companion.
-
D.
Hound and Hunter
Hound and Hunter is an 1892 oil painting by American realist artist Winslow Homer depicting a tense hunting scene in the Florida wilderness.
-
E.
The Land
The Land is an EPCOT pavilion focused on agriculture and the natural environment, featuring attractions and exhibits about sustainable farming, ecosystems, and human interaction with the Earth.
- 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: Old Yeller Target entity description: Old Yeller is a classic 1957 American family drama film about a boy and his loyal dog on the Texas frontier, renowned for its emotional impact and enduring popularity.
-
A.
K-9 and Company
K-9 and Company is a British science-fiction television series set in the Doctor Who universe, featuring the Doctor’s robotic dog K-9 and former companion Sarah Jane Smith in their own adventures.
-
B.
Little Turtle's War
Little Turtle's War was a late 18th-century conflict between a confederation of Native American tribes and the United States over control of the Northwest Territory, named after the Miami war chief Little Turtle who led many of the Native forces.
-
C.
Bullet the Wonder Dog
Bullet the Wonder Dog was Roy Rogers’ famous German Shepherd sidekick, known for appearing in his Western films and television shows as a heroic and intelligent companion.
-
D.
Hound and Hunter
Hound and Hunter is an 1892 oil painting by American realist artist Winslow Homer depicting a tense hunting scene in the Florida wilderness.
-
E.
The Land
The Land is an EPCOT pavilion focused on agriculture and the natural environment, featuring attractions and exhibits about sustainable farming, ecosystems, and human interaction with the Earth.
- F. None of above. chosen
Statements (48)
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: Old Yeller Description of subject: Old Yeller is a classic 1957 American family drama film about a boy and his loyal dog on the Texas frontier, renowned for its emotional impact and enduring popularity.
Referenced by (23)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Old Yeller (novel)
subject surface form:
Katie Coates
subject surface form:
Katie Coates
this entity surface form:
1957 film Old Yeller
subject surface form:
Katie Coates
this entity surface form:
Old Yeller universe
subject surface form:
Katie Coates
this entity surface form:
Old Yeller (1957 film)
subject surface form:
Old Yeller (1957 film)
this entity surface form:
Old Yeller (1957 film)
this entity surface form:
Old Yeller universe