A Treatise on Probability
E7216
A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
All labels observed (5)
How this entity was disambiguated
This entity first appeared as the object of triple T85969 — 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: A Treatise on Probability Context triple: [John Maynard Keynes, notableWork, A Treatise on Probability]
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A.
Principia Mathematica
Principia Mathematica is a landmark three-volume work in mathematical logic and the foundations of mathematics, co-authored by Bertrand Russell and Alfred North Whitehead, which aimed to derive all mathematical truths from a formal system of symbolic logic.
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B.
De ratiociniis in ludo aleae
De ratiociniis in ludo aleae is a pioneering 17th-century treatise on probability theory, particularly as applied to games of chance.
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C.
On Denoting
"On Denoting" is a seminal 1905 philosophical essay by Bertrand Russell that introduced his influential theory of descriptions and reshaped analytic philosophy of language.
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D.
The Problems of Philosophy
The Problems of Philosophy is a short, accessible 1912 book by Bertrand Russell that introduces key issues in epistemology and metaphysics, such as the nature of reality, knowledge, and appearance versus reality.
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E.
Syntactic Structures
Syntactic Structures is a landmark 1957 book by linguist Noam Chomsky that revolutionized the study of language by introducing generative grammar and challenging behaviorist views of linguistics.
- 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: A Treatise on Probability Target entity description: A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
-
A.
Principia Mathematica
Principia Mathematica is a landmark three-volume work in mathematical logic and the foundations of mathematics, co-authored by Bertrand Russell and Alfred North Whitehead, which aimed to derive all mathematical truths from a formal system of symbolic logic.
-
B.
De ratiociniis in ludo aleae
De ratiociniis in ludo aleae is a pioneering 17th-century treatise on probability theory, particularly as applied to games of chance.
-
C.
On Denoting
"On Denoting" is a seminal 1905 philosophical essay by Bertrand Russell that introduced his influential theory of descriptions and reshaped analytic philosophy of language.
-
D.
The Problems of Philosophy
The Problems of Philosophy is a short, accessible 1912 book by Bertrand Russell that introduces key issues in epistemology and metaphysics, such as the nature of reality, knowledge, and appearance versus reality.
-
E.
Syntactic Structures
Syntactic Structures is a landmark 1957 book by linguist Noam Chomsky that revolutionized the study of language by introducing generative grammar and challenging behaviorist views of linguistics.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
non-fiction book ⓘ philosophy of probability work ⓘ |
| academicDiscipline |
economics
ⓘ
philosophy of science ⓘ |
| argues |
probability is a logical relation between propositions
ⓘ
probability is not reducible to long-run frequencies ⓘ probability judgments can be partial and non-numerical ⓘ |
| author | John Maynard Keynes ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| critiques |
classical interpretation of probability
ⓘ
frequency interpretation of probability ⓘ |
| discusses |
Bayesian ideas
ⓘ
degrees of belief ⓘ inductive reasoning ⓘ |
| field |
philosophy
ⓘ
probability theory ⓘ statistics ⓘ |
| firstEditionFormat | print ⓘ |
| focusesOn | logical interpretation of probability ⓘ |
| hasPart |
Book I: Fundamental Ideas
ⓘ
Book II: Fundamental Theorems ⓘ Book III: Induction and Analogy ⓘ |
| hasReprint | Cambridge University Press edition ⓘ |
| influenced |
Bayesian epistemology
ⓘ
philosophy of statistics ⓘ subjective probability theory ⓘ |
| influencedBy |
George Boole
ⓘ
John Venn ⓘ logical positivism ⓘ |
| introducesConcept | weight of argument ⓘ |
| language | English ⓘ |
| notableFor |
concept of weight of evidence
ⓘ
early critique of frequentism ⓘ systematic logical theory of probability ⓘ |
| proposes | logical-relation theory of probability ⓘ |
| publicationYear | 1921 ⓘ |
| publisher |
Macmillan Publishers
ⓘ
surface form:
Macmillan
|
| relatedWork |
Essays in Biography
ⓘ
The General Theory of Employment, Interest and Money ⓘ |
| subject |
epistemology
ⓘ
induction ⓘ logic ⓘ philosophy of probability ⓘ probability theory ⓘ statistics ⓘ uncertainty ⓘ |
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: A Treatise on Probability Description of subject: A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
A Treatise on Probability (1921)
this entity surface form:
Book I of A Treatise on Probability
this entity surface form:
foundations of Keynesian probability theory
this entity surface form:
Book I–V of A Treatise on Probability