Triple
T21972876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Stroock |
E542634
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Probability Theory: An Analytic View |
—
|
NE NERFINISHED |
How this triple was built (3 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: Probability Theory: An Analytic View | Statement: [Daniel Stroock, notableWork, Probability Theory: An Analytic View]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Probability Theory: An Analytic View Context triple: [Daniel Stroock, notableWork, Probability Theory: An Analytic View]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
The Art of Probability for Scientists and Engineers
The Art of Probability for Scientists and Engineers is a textbook by mathematician Richard W. Hamming that presents probability theory with an emphasis on practical applications in science and engineering.
-
E.
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.
- 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: Probability Theory: An Analytic View Target entity description: "Probability Theory: An Analytic View" is a rigorous graduate-level textbook by Daniel Stroock that develops probability theory with a strong emphasis on measure-theoretic and analytic foundations.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
The Art of Probability for Scientists and Engineers
The Art of Probability for Scientists and Engineers is a textbook by mathematician Richard W. Hamming that presents probability theory with an emphasis on practical applications in science and engineering.
-
E.
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.
- F. None of above. chosen
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124857dcc8190ab474cd8ab9c130a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:02 p.m.