Book I: Fundamental Ideas
E57019
Book I: Fundamental Ideas is the opening section of John Maynard Keynes’s *A Treatise on Probability*, where he lays out the foundational concepts and philosophical underpinnings of his theory of probability.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Book I: Fundamental Ideas canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T455168 — 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: Book I: Fundamental Ideas Context triple: [A Treatise on Probability, hasPart, Book I: Fundamental Ideas]
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A.
Book I
Book I is the opening section of Washington Irving’s satirical work *A History of New York*, introducing the mock-historical tone and humorous narrative that characterize the rest of the book.
-
B.
Book I
Book I is the opening section of Jean-Jacques Rousseau’s political treatise *The Social Contract*, where he lays the philosophical groundwork for his theory of legitimate political authority and the social pact.
-
C.
Book I: Antiquities
Book I: Antiquities is the opening section of Cotton Mather’s historical work Magnalia Christi Americana, focusing on the early history and foundations of New England.
-
D.
Die Grundlagen der Arithmetik
Die Grundlagen der Arithmetik is Gottlob Frege’s seminal philosophical work that lays the logical foundations of arithmetic and advances the logicist thesis that arithmetic is reducible to pure logic.
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E.
Elementary Mathematics from an Advanced Standpoint
"Elementary Mathematics from an Advanced Standpoint" is a classic three-volume work by Felix Klein that reexamines school-level mathematics through the lens of modern, rigorous mathematical theory and pedagogy.
- 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: Book I: Fundamental Ideas Target entity description: Book I: Fundamental Ideas is the opening section of John Maynard Keynes’s *A Treatise on Probability*, where he lays out the foundational concepts and philosophical underpinnings of his theory of probability.
-
A.
Book I
Book I is the opening section of Washington Irving’s satirical work *A History of New York*, introducing the mock-historical tone and humorous narrative that characterize the rest of the book.
-
B.
Book I
Book I is the opening section of Jean-Jacques Rousseau’s political treatise *The Social Contract*, where he lays the philosophical groundwork for his theory of legitimate political authority and the social pact.
-
C.
Book I: Antiquities
Book I: Antiquities is the opening section of Cotton Mather’s historical work Magnalia Christi Americana, focusing on the early history and foundations of New England.
-
D.
Die Grundlagen der Arithmetik
Die Grundlagen der Arithmetik is Gottlob Frege’s seminal philosophical work that lays the logical foundations of arithmetic and advances the logicist thesis that arithmetic is reducible to pure logic.
-
E.
Elementary Mathematics from an Advanced Standpoint
"Elementary Mathematics from an Advanced Standpoint" is a classic three-volume work by Felix Klein that reexamines school-level mathematics through the lens of modern, rigorous mathematical theory and pedagogy.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
book section
ⓘ
part of non-fiction book ⓘ |
| aimsTo |
analyze rational belief under uncertainty
ⓘ
clarify the meaning of probability statements ⓘ distinguish probability from frequency ⓘ provide a rigorous philosophical basis for probability ⓘ |
| author | John Maynard Keynes ⓘ |
| containedIn | first edition of A Treatise on Probability ⓘ |
| contrastsWith |
frequency interpretation of probability
ⓘ
subjective interpretation of probability ⓘ |
| discusses |
a priori probabilities
ⓘ
degrees of rational belief ⓘ logical relations between evidence and hypothesis ⓘ the concept of weight of evidence ⓘ |
| field |
epistemology
ⓘ
philosophy of probability ⓘ probability theory ⓘ |
| focusesOn |
concept of partial belief
ⓘ
inductive reasoning ⓘ logical interpretation of probability ⓘ logical relations of support ⓘ probability as a logical relation between propositions ⓘ rational degrees of belief ⓘ the nature of evidence ⓘ |
| formsFoundationFor | later technical developments in A Treatise on Probability ⓘ |
| hasAuthorRole | John Maynard Keynes as philosopher of probability ⓘ |
| historicalContext | early 20th-century debates on the foundations of probability ⓘ |
| influencedBy |
Empiricism
ⓘ
surface form:
British empiricism
earlier theories of induction ⓘ logical tradition in philosophy ⓘ |
| language | English ⓘ |
| laysOut |
foundational concepts of Keynes’s probability theory
ⓘ
philosophical underpinnings of Keynes’s theory of probability ⓘ |
| notableFor |
influencing later logical and epistemic interpretations of probability
ⓘ
systematic treatment of probability as logic ⓘ |
| openingSectionOf | A Treatise on Probability ⓘ |
| partOf | A Treatise on Probability ⓘ |
| philosophicalOrientation |
anti-frequentist view of probability
ⓘ
realist view of logical relations ⓘ |
| positionInWork | first book ⓘ |
| publishedAsPartOf |
A Treatise on Probability
ⓘ
surface form:
A Treatise on Probability (1921)
|
| targetAudience |
economists concerned with uncertainty
ⓘ
mathematicians interested in foundations ⓘ philosophers of science ⓘ |
| workType | theoretical exposition ⓘ |
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: Book I: Fundamental Ideas Description of subject: Book I: Fundamental Ideas is the opening section of John Maynard Keynes’s *A Treatise on Probability*, where he lays out the foundational concepts and philosophical underpinnings of his theory of probability.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.