On Dangerous Ground
E756968
On Dangerous Ground is a 1952 American film noir crime drama directed by Nicholas Ray, known for its dark psychological themes and stark visual style.
All labels observed (2)
| Label | Occurrences |
|---|---|
| On Dangerous Ground canonical | 13 |
| On Dangerous Ground (1951 film) | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8788128 — 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: On Dangerous Ground Context triple: [A. I. Bezzerides, notableWork, On Dangerous Ground]
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A.
On Dangerous Ground
On Dangerous Ground is a fast-paced political thriller novel by Jack Higgins involving high-stakes espionage and international intrigue.
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B.
On Deadly Ground
On Deadly Ground is a 1994 action film directed by and starring Steven Seagal, centered on an environmentalist oil-rig firefighter battling corporate corruption in Alaska.
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C.
Edge of Danger
Edge of Danger is a fast-paced thriller novel by Jack Higgins that follows covert operatives entangled in international intrigue and assassination plots.
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D.
Green for Danger
Green for Danger is a 1946 British mystery film set in a wartime hospital, renowned for its blend of whodunit suspense and dark humor.
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E.
Dangerous Passage
Dangerous Passage is a 1944 American film noir thriller starring Faye Emerson, known for its suspenseful plot set aboard a ship.
- 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: On Dangerous Ground Target entity description: On Dangerous Ground is a 1952 American film noir crime drama directed by Nicholas Ray, known for its dark psychological themes and stark visual style.
-
A.
On Dangerous Ground
On Dangerous Ground is a fast-paced political thriller novel by Jack Higgins involving high-stakes espionage and international intrigue.
-
B.
On Deadly Ground
On Deadly Ground is a 1994 action film directed by and starring Steven Seagal, centered on an environmentalist oil-rig firefighter battling corporate corruption in Alaska.
-
C.
Edge of Danger
Edge of Danger is a fast-paced thriller novel by Jack Higgins that follows covert operatives entangled in international intrigue and assassination plots.
-
D.
Green for Danger
Green for Danger is a 1946 British mystery film set in a wartime hospital, renowned for its blend of whodunit suspense and dark humor.
-
E.
Dangerous Passage
Dangerous Passage is a 1944 American film noir thriller starring Faye Emerson, known for its suspenseful plot set aboard a ship.
- F. None of above. chosen
Statements (45)
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: On Dangerous Ground Description of subject: On Dangerous Ground is a 1952 American film noir crime drama directed by Nicholas Ray, known for its dark psychological themes and stark visual style.
Referenced by (15)
Full triples — surface form annotated when it differs from this entity's canonical label.