Snow Wonder
E764181
Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Snow Wonder canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8881454 — 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: Snow Wonder Context triple: [Eric Szmanda, appearedIn, Snow Wonder]
-
A.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
B.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
C.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
-
D.
Snowbird
Snowbird is a major ski and snowboard resort in Utah known for its steep terrain, deep powder, and long winter season.
-
E.
The Slopes
The Slopes is a historic landscaped park in Buxton, Derbyshire, known for its terraced walks, ornamental gardens, and views over the town’s spa architecture.
- 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: Snow Wonder Target entity description: Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
-
A.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
B.
Snowman
Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
-
C.
Thunder Snow
Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
-
D.
Snowbird
Snowbird is a major ski and snowboard resort in Utah known for its steep terrain, deep powder, and long winter season.
-
E.
The Slopes
The Slopes is a historic landscaped park in Buxton, Derbyshire, known for its terraced walks, ornamental gardens, and views over the town’s spa architecture.
- F. None of above. chosen
Statements (88)
| Predicate | Object |
|---|---|
| instanceOf | television film ⓘ |
| basedOnWorkBy | Connie Willis NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| format | made-for-television film ⓘ |
| genre |
Christmas film
ⓘ
drama ⓘ holiday film ⓘ |
| hasCastMember |
Aaron Ashmore
NERFINISHED
ⓘ
Alexia Fast NERFINISHED ⓘ Alistair Abell NERFINISHED ⓘ Barclay Hope NERFINISHED ⓘ Ben Cotton NERFINISHED ⓘ Blu Mankuma NERFINISHED ⓘ Brendan Fletcher NERFINISHED ⓘ Brittney Wilson NERFINISHED ⓘ C. Thomas Howell NERFINISHED ⓘ Camryn Manheim NERFINISHED ⓘ Chelah Horsdal NERFINISHED ⓘ Christine Chatelain NERFINISHED ⓘ Colleen Wheeler NERFINISHED ⓘ Connor Price NERFINISHED ⓘ Darren Dolynski NERFINISHED ⓘ Darren Shahlavi NERFINISHED ⓘ David Lewis NERFINISHED ⓘ David Milchard NERFINISHED ⓘ David Nykl NERFINISHED ⓘ David Paetkau NERFINISHED ⓘ David Richmond-Peck NERFINISHED ⓘ David Sutcliffe NERFINISHED ⓘ Dean Redman NERFINISHED ⓘ Derek Hamilton NERFINISHED ⓘ Don Thompson NERFINISHED ⓘ Donnelly Rhodes NERFINISHED ⓘ Dylan Neal NERFINISHED ⓘ Elaine Hendrix NERFINISHED ⓘ Eric Szmanda NERFINISHED ⓘ Fulvio Cecere NERFINISHED ⓘ Gage Golightly NERFINISHED ⓘ Garry Chalk NERFINISHED ⓘ Glynis Davies NERFINISHED ⓘ Hrothgar Mathews NERFINISHED ⓘ Jason Priestley NERFINISHED ⓘ Jennifer Esposito NERFINISHED ⓘ Jill Morrison NERFINISHED ⓘ Jill Teed NERFINISHED ⓘ Jody Thompson NERFINISHED ⓘ Joey Lawrence NERFINISHED ⓘ John Cassini NERFINISHED ⓘ Josh Hopkins NERFINISHED ⓘ Josh Randall NERFINISHED ⓘ Joy Tanner NERFINISHED ⓘ Julian McMahon NERFINISHED ⓘ Karin Konoval NERFINISHED ⓘ Kavan Smith NERFINISHED ⓘ Kimberlee Peterson NERFINISHED ⓘ Kirsten Prout NERFINISHED ⓘ Leslie Hope NERFINISHED ⓘ Mackenzie Gray NERFINISHED ⓘ Mary Tyler Moore NERFINISHED ⓘ Michael Adamthwaite NERFINISHED ⓘ Michael Eklund NERFINISHED ⓘ Michael Kopsa NERFINISHED ⓘ Michael Shanks NERFINISHED ⓘ Michelle Nolden NERFINISHED ⓘ Monika Schnarre NERFINISHED ⓘ Panou NERFINISHED ⓘ Patrick Gallagher NERFINISHED ⓘ Patrick Gilmore NERFINISHED ⓘ Paul Johansson NERFINISHED ⓘ Peter Kelamis NERFINISHED ⓘ Peter MacNeill NERFINISHED ⓘ Poppy Montgomery NERFINISHED ⓘ Sonya Salomaa NERFINISHED ⓘ Stephen E. Miller NERFINISHED ⓘ Teach Grant NERFINISHED ⓘ Toby Levins NERFINISHED ⓘ Tom McBeath NERFINISHED ⓘ Veena Sood NERFINISHED ⓘ Victor Webster NERFINISHED ⓘ Victoria Sanchez NERFINISHED ⓘ William MacDonald NERFINISHED ⓘ |
| isBasedOn | Just Like the Ones We Used to Know NERFINISHED ⓘ |
| originalLanguage | English ⓘ |
| originalNetwork | CBS ⓘ |
| plotKeyword |
Christmas Eve
NERFINISHED
ⓘ
intertwining lives ⓘ snowstorm ⓘ |
| releaseYear | 2005 ⓘ |
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: Snow Wonder Description of subject: Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.