Triple

T6679970
Position Surface form Disambiguated ID Type / Status
Subject Hans Reichenbach E151952 entity
Predicate notableWork P4 FINISHED
Object The Theory of Probability
The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
 E611674 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Theory of Probability | Statement: [Hans Reichenbach, notableWork, The Theory of Probability]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Theory of Probability
Context triple: [Hans Reichenbach, notableWork, The Theory of Probability]
  • A. Foundations of the Theory of Probability
    Foundations of the Theory of Probability is a landmark 1933 monograph that rigorously established modern probability theory on an axiomatic measure-theoretic basis.
  • B. A Treatise on Probability
    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.
  • C. Modern Probability Theory and Its Applications
    "Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
  • D. Logical Foundations of Probability
    Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
  • E. The Logic of Chance
    The Logic of Chance is an influential 1866 book by John Venn that helped establish the frequency interpretation of probability and advanced the philosophical foundations of statistical reasoning.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Theory of Probability
Triple: [Hans Reichenbach, notableWork, The Theory of Probability]
Generated description
The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Theory of Probability
Target entity description: The Theory of Probability is Hans Reichenbach’s influential philosophical and mathematical treatise that helped establish a rigorous, frequency-based interpretation of probability within the logical empiricist tradition.
  • A. Foundations of the Theory of Probability
    Foundations of the Theory of Probability is a landmark 1933 monograph that rigorously established modern probability theory on an axiomatic measure-theoretic basis.
  • B. A Treatise on Probability
    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.
  • C. Modern Probability Theory and Its Applications
    "Modern Probability Theory and Its Applications" is a foundational textbook by Emanuel Parzen that systematically develops modern probability theory and demonstrates its use in a wide range of statistical and applied contexts.
  • D. Logical Foundations of Probability
    Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
  • E. The Logic of Chance
    The Logic of Chance is an influential 1866 book by John Venn that helped establish the frequency interpretation of probability and advanced the philosophical foundations of statistical reasoning.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b11df8d88190bf19fcb4e7a0bdb3 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a9fda4819096d4bd3e8133cecb completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f8b1e1f48190bc9058a8a21a4a62 completed March 27, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69c6f9441d74819098f0639a29fdeb5e completed March 27, 2026, 9:40 p.m.
Created at: March 27, 2026, 2:03 p.m.