The Doomsday Machine
E945655
The Doomsday Machine is a 2017 nonfiction book by Daniel Ellsberg that reveals U.S. nuclear war planning and the dangers of Cold War–era doomsday scenarios.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Doomsday Machine canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11769305 — 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: The Doomsday Machine Context triple: [James Craig, notableWork, The Doomsday Machine]
-
A.
Doomsday
"Doomsday" is a highly acclaimed 2006 Doctor Who television episode that concludes the battle between the Cybermen and the Daleks while marking the emotional farewell between the Tenth Doctor and Rose Tyler.
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B.
Doomsday
Doomsday is a monstrous, nearly indestructible Kryptonian creature known in DC Comics for killing Superman and serving as one of his most powerful foes.
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C.
A World Destroyed
A World Destroyed is a historical study by Martin J. Sherwin examining the development and use of the atomic bomb and its profound political and moral consequences.
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D.
The Doomsday Conspiracy
The Doomsday Conspiracy is a 1991 thriller novel by Sidney Sheldon that follows a naval officer tasked with investigating a mysterious crash tied to a deadly global cover-up.
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E.
Infernal Machine
The Infernal Machine is a powerful fictional ancient device central to the plot of the video game "Indiana Jones and the Infernal Machine."
- 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: The Doomsday Machine Target entity description: The Doomsday Machine is a 2017 nonfiction book by Daniel Ellsberg that reveals U.S. nuclear war planning and the dangers of Cold War–era doomsday scenarios.
-
A.
Doomsday
"Doomsday" is a highly acclaimed 2006 Doctor Who television episode that concludes the battle between the Cybermen and the Daleks while marking the emotional farewell between the Tenth Doctor and Rose Tyler.
-
B.
Doomsday
Doomsday is a monstrous, nearly indestructible Kryptonian creature known in DC Comics for killing Superman and serving as one of his most powerful foes.
-
C.
A World Destroyed
A World Destroyed is a historical study by Martin J. Sherwin examining the development and use of the atomic bomb and its profound political and moral consequences.
-
D.
The Doomsday Conspiracy
The Doomsday Conspiracy is a 1991 thriller novel by Sidney Sheldon that follows a naval officer tasked with investigating a mysterious crash tied to a deadly global cover-up.
-
E.
Infernal Machine
The Infernal Machine is a powerful fictional ancient device central to the plot of the video game "Indiana Jones and the Infernal Machine."
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
book about nuclear weapons
ⓘ
nonfiction book ⓘ |
| author | Daniel Ellsberg NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| criticizes |
Cold War military secrecy
ⓘ
U.S. nuclear posture ⓘ mutually assured destruction ⓘ presidential nuclear launch powers ⓘ |
| describes |
Joint Strategic Capabilities Plan
NERFINISHED
ⓘ
Pentagon nuclear war plans ⓘ Single Integrated Operational Plan NERFINISHED ⓘ nuclear target lists ⓘ nuclear winter risk ⓘ |
| focusesOn |
Cold War–era war plans
ⓘ
U.S. nuclear command and control ⓘ civilian casualties in nuclear war ⓘ delegation of launch authority ⓘ first-strike capability ⓘ presidential nuclear authority ⓘ risks of accidental nuclear war ⓘ secrecy in nuclear planning ⓘ whistleblowing ⓘ |
| genre |
military history
ⓘ
nonfiction ⓘ political literature ⓘ |
| hasCentralFigure | Daniel Ellsberg NERFINISHED ⓘ |
| hasSubject |
United States Department of Defense
NERFINISHED
ⓘ
nuclear arms race ⓘ |
| includes | Ellsberg's personal experiences as a defense analyst ⓘ |
| language | English ⓘ |
| mainSubject |
Cold War
NERFINISHED
ⓘ
U.S. nuclear war planning ⓘ doomsday scenarios ⓘ nuclear deterrence ⓘ nuclear strategy ⓘ nuclear war ⓘ nuclear weapons ⓘ |
| notableFor |
linking nuclear war plans to doomsday scenarios
ⓘ
revealing details of U.S. nuclear war planning ⓘ warning about the risk of global nuclear catastrophe ⓘ |
| proposes |
no-first-use policy
ⓘ
nuclear disarmament measures ⓘ reforms to nuclear command and control ⓘ |
| publicationYear | 2017 ⓘ |
| publisher | Bloomsbury Publishing NERFINISHED ⓘ |
| relatedWork |
Pentagon Papers
NERFINISHED
ⓘ
Secrets: A Memoir of Vietnam and the Pentagon Papers NERFINISHED ⓘ |
| timePeriodCovered |
Cold War
NERFINISHED
ⓘ
Vietnam War era ⓘ |
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: The Doomsday Machine Description of subject: The Doomsday Machine is a 2017 nonfiction book by Daniel Ellsberg that reveals U.S. nuclear war planning and the dangers of Cold War–era doomsday scenarios.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.