Daniel in Crash
E743678
Daniel in Crash is a hardworking Mexican-American locksmith whose experiences with racism and family vulnerability form one of the film’s most emotionally resonant storylines.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Daniel in Crash canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8575976 — 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: Daniel in Crash Context triple: [Michael Peña, portrayed, Daniel in Crash]
-
A.
Dash
Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
-
B.
Dash
Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
-
C.
Dash
Dash was a boutique clothing and accessories retail chain founded and operated by the Kardashian sisters, known for selling trendy, celebrity-inspired fashion.
-
D.
Dash
Dash is the nickname of the Winston-Salem Dash, a Minor League Baseball team based in Winston-Salem, North Carolina.
-
E.
Dash
Dash is a National Women's Soccer League team based in Houston, Texas, competing under the full name Houston Dash.
- 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: Daniel in Crash Target entity description: Daniel in Crash is a hardworking Mexican-American locksmith whose experiences with racism and family vulnerability form one of the film’s most emotionally resonant storylines.
-
A.
Dash
Dash is a lightweight, POSIX-compliant Unix shell designed for fast script execution and minimal resource usage, commonly used as the default /bin/sh on some Linux systems.
-
B.
Dash
Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
-
C.
Dash
Dash was a boutique clothing and accessories retail chain founded and operated by the Kardashian sisters, known for selling trendy, celebrity-inspired fashion.
-
D.
Dash
Dash is the nickname of the Winston-Salem Dash, a Minor League Baseball team based in Winston-Salem, North Carolina.
-
E.
Dash
Dash is a National Women's Soccer League team based in Houston, Texas, competing under the full name Houston Dash.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| appearsIn | Crash (2004 film) ⓘ |
| associatedWithTheme |
class and economic insecurity
ⓘ
misperception and stereotyping ⓘ parental protection ⓘ racism ⓘ |
| characterArc | faces racial prejudice while trying to provide for his family ⓘ |
| createdBy | Paul Haggis ⓘ |
| ethnicity | Mexican-American ⓘ |
| filmGenreContext | drama ⓘ |
| firstAppearance | Crash (2004 film) ⓘ |
| gender | male ⓘ |
| hasDaughter | Lara ⓘ |
| languageOfWork | English ⓘ |
| medium | feature film ⓘ |
| nationality | American ⓘ |
| notableFor |
being falsely suspected of theft by a Persian-American shop owner
ⓘ
being misjudged as a gang member because of his appearance ⓘ experiencing racism in his work as a locksmith ⓘ protective relationship with his young daughter ⓘ |
| occupation | locksmith ⓘ |
| personalityTrait |
family-oriented
ⓘ
hardworking ⓘ nonviolent ⓘ patient ⓘ |
| portrayedBy | Michael Peña ⓘ |
| residence | Los Angeles ⓘ |
| settingOfActivity | Los Angeles locksmith jobs ⓘ |
| spouse | Elizabeth ⓘ |
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: Daniel in Crash Description of subject: Daniel in Crash is a hardworking Mexican-American locksmith whose experiences with racism and family vulnerability form one of the film’s most emotionally resonant storylines.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.