Sheriff Will Teasle
E296883
Sheriff Will Teasle is the small-town lawman and primary antagonist in "First Blood," whose escalating conflict with John Rambo drives the film’s central drama.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Sheriff Will Teasle canonical | 2 |
| Sheriff of Hope, Washington | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2770931 — 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: Sheriff Will Teasle Context triple: [First Blood, character, Sheriff Will Teasle]
-
A.
Sheriff George Bannerman
Sheriff George Bannerman is a fictional lawman from Stephen King’s novel "The Dead Zone," known for working with psychic Johnny Smith to investigate a series of murders.
-
B.
Sheriff John T. Chance
Sheriff John T. Chance is the steadfast, principled lawman portrayed by John Wayne who defends a small town against outlaws in the classic Western film "Rio Bravo."
-
C.
Charles Starrett
Charles Starrett was an American film actor best known for his long-running role as the Durango Kid in B-Western movies during the 1930s and 1940s.
-
D.
Alvin Dewey
Alvin Dewey was a real-life Kansas Bureau of Investigation agent best known for leading the investigation into the Clutter family murders, as depicted in Truman Capote’s nonfiction novel "In Cold Blood."
-
E.
Lawrence Sheriff
Lawrence Sheriff was a 16th-century English grocer and philanthropist best known for endowing the foundation that led to the creation of Rugby School.
- 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: Sheriff Will Teasle Target entity description: Sheriff Will Teasle is the small-town lawman and primary antagonist in "First Blood," whose escalating conflict with John Rambo drives the film’s central drama.
-
A.
Sheriff George Bannerman
Sheriff George Bannerman is a fictional lawman from Stephen King’s novel "The Dead Zone," known for working with psychic Johnny Smith to investigate a series of murders.
-
B.
Sheriff John T. Chance
Sheriff John T. Chance is the steadfast, principled lawman portrayed by John Wayne who defends a small town against outlaws in the classic Western film "Rio Bravo."
-
C.
Charles Starrett
Charles Starrett was an American film actor best known for his long-running role as the Durango Kid in B-Western movies during the 1930s and 1940s.
-
D.
Alvin Dewey
Alvin Dewey was a real-life Kansas Bureau of Investigation agent best known for leading the investigation into the Clutter family murders, as depicted in Truman Capote’s nonfiction novel "In Cold Blood."
-
E.
Lawrence Sheriff
Lawrence Sheriff was a 16th-century English grocer and philanthropist best known for endowing the foundation that led to the creation of Rugby School.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| alignment | law-and-order focused ⓘ |
| appearsIn |
film "First Blood"
ⓘ
linked to:
First Blood
novel "First Blood" ⓘ |
| basedOn | Will Teasle from the novel "First Blood" by David Morrell ⓘ |
| causeOf | escalating conflict that drives the central drama of "First Blood" ⓘ |
| characterTrait |
authoritative
ⓘ
protective of his town ⓘ proud ⓘ stubborn ⓘ |
| conflictWith | John Rambo ⓘ |
| createdBy | David Morrell ⓘ |
| familyName | Teasle ⓘ |
| fictionalCountryOfResidence |
United States
ⓘ
linked to:
United States of America
|
| fictionalStateOfResidence | Washington ⓘ |
| fictionalUniverse |
"Rambo" film series
ⓘ
linked to:
Rambo film series
|
| firstAppearance |
novel "First Blood" (1972)
ⓘ
linked to:
novel "First Blood"
|
| firstFilmAppearance |
film "First Blood" (1982)
ⓘ
linked to:
First Blood
|
| fullName | Will Teasle ⓘ |
| gender | male ⓘ |
| genre |
action film character
ⓘ
thriller character ⓘ |
| givenName | Will ⓘ |
| language | English ⓘ |
| lawEnforcementAgency | Hope Sheriff’s Department ⓘ |
| medium |
cinema
ⓘ
literature ⓘ |
| narrativeFunction | antagonist to John Rambo ⓘ |
| notableFor |
escalating a local law enforcement matter into a large-scale manhunt
ⓘ
pursuing John Rambo after a minor vagrancy incident ⓘ |
| occupation |
lawman
ⓘ
sheriff ⓘ |
| portrayedBy | Brian Dennehy ⓘ |
| positionHeld |
Sheriff of Hope, Washington
ⓘ
linked to:
Sheriff Will Teasle
|
| roleIn | primary antagonist in the film "First Blood" ⓘ |
| screenWriterAdaptationBy |
Michael Kozoll
ⓘ
Sylvester Stallone ⓘ William Sackheim ⓘ |
| setting | fictional town of Hope, Washington ⓘ |
| themeAssociation |
abuse of authority
ⓘ
misunderstanding of Vietnam veterans ⓘ small-town power dynamics ⓘ |
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: Sheriff Will Teasle Description of subject: Sheriff Will Teasle is the small-town lawman and primary antagonist in "First Blood," whose escalating conflict with John Rambo drives the film’s central drama.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.