Triple
T19531997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coding and Information Theory |
E488677
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | The Art of Probability for Scientists and Engineers |
—
|
NE NERFINISHED |
How this triple was built (2 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 Art of Probability for Scientists and Engineers | Statement: [Coding and Information Theory, relatedWork, The Art of Probability for Scientists and Engineers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Art of Probability for Scientists and Engineers Context triple: [Coding and Information Theory, relatedWork, The Art of Probability for Scientists and Engineers]
-
A.
The Art of Probability for Scientists and Engineers
chosen
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.
-
B.
Introduction to Probability and Statistics for Engineers and Scientists
"Introduction to Probability and Statistics for Engineers and Scientists" is a widely used textbook that presents fundamental concepts of probability and statistics with a strong emphasis on applications in engineering and the physical sciences.
-
C.
A First Course in Probability
A First Course in Probability is a widely used introductory textbook that presents fundamental concepts and methods of probability theory with clear explanations and numerous examples.
-
D.
Introduction to Probability Models
Introduction to Probability Models is a widely used textbook that provides a comprehensive, applications-oriented introduction to probability theory and stochastic processes for students in engineering, mathematics, and related fields.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363fd1f8819080805346efad2579 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.