Triple
T17225355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Nagel |
E418099
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Principles of the Theory of Probability
Principles of the Theory of Probability is a philosophical and methodological examination of the foundations, interpretation, and logical structure of probability theory.
|
E1257532
|
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: Principles of the Theory of Probability | Statement: [Ernest Nagel, notableWork, Principles of the Theory of Probability]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Principles of the Theory of Probability Context triple: [Ernest Nagel, notableWork, Principles of the Theory of Probability]
-
A.
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.
-
B.
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.
-
C.
The Emergence of Probability
The Emergence of Probability is a seminal philosophical and historical study by Ian Hacking that traces how modern concepts of probability and statistical reasoning developed from the 16th to the 19th century.
-
D.
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.
-
E.
Theory of Probability
Theory of Probability is a foundational book by Harold Jeffreys that systematically develops Bayesian probability theory and its applications to scientific inference.
- 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: Principles of the Theory of Probability Triple: [Ernest Nagel, notableWork, Principles of the Theory of Probability]
Generated description
Principles of the Theory of Probability is a philosophical and methodological examination of the foundations, interpretation, and logical structure of probability theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Principles of the Theory of Probability Target entity description: Principles of the Theory of Probability is a philosophical and methodological examination of the foundations, interpretation, and logical structure of probability theory.
-
A.
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.
-
B.
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.
-
C.
The Emergence of Probability
The Emergence of Probability is a seminal philosophical and historical study by Ian Hacking that traces how modern concepts of probability and statistical reasoning developed from the 16th to the 19th century.
-
D.
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.
-
E.
Theory of Probability
Theory of Probability is a foundational book by Harold Jeffreys that systematically develops Bayesian probability theory and its applications to scientific inference.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675cc70881909cf39b2e229f5d1e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a016a5f58408190b42a8da742aa2f5b |
completed | May 11, 2026, 5:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016b0e72588190b1ba2b45f0425d3d |
completed | May 11, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:38 a.m.