Triple
T17181980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon M. Ross |
E417005
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E1254730
|
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: Introduction to Probability and Statistics for Engineers and Scientists | Statement: [Sheldon M. Ross, notableWork, Introduction to Probability and Statistics for Engineers and Scientists]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Introduction to Probability and Statistics for Engineers and Scientists Context triple: [Sheldon M. Ross, notableWork, Introduction to Probability and Statistics for Engineers and Scientists]
-
A.
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.
-
B.
Probability and Statistics with Reliability, Queuing, and Computer Science Applications
"Probability and Statistics with Reliability, Queuing, and Computer Science Applications" is a widely used textbook by Kishor S. Trivedi that presents probability and statistics with a strong emphasis on reliability engineering, queueing theory, and their applications in computer science.
-
C.
Schaum's Outline of Statistics
Schaum's Outline of Statistics is a widely used study guide that provides concise explanations, solved problems, and practice exercises to help students learn and review fundamental statistics concepts.
-
D.
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.
-
E.
Probability, Statistics and Truth
Probability, Statistics and Truth is a foundational book by Richard von Mises that presents his frequentist interpretation of probability and explores the philosophical and practical implications 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: Introduction to Probability and Statistics for Engineers and Scientists Triple: [Sheldon M. Ross, notableWork, Introduction to Probability and Statistics for Engineers and Scientists]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Introduction to Probability and Statistics for Engineers and Scientists Target entity description: "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.
-
A.
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.
-
B.
Probability and Statistics with Reliability, Queuing, and Computer Science Applications
"Probability and Statistics with Reliability, Queuing, and Computer Science Applications" is a widely used textbook by Kishor S. Trivedi that presents probability and statistics with a strong emphasis on reliability engineering, queueing theory, and their applications in computer science.
-
C.
Schaum's Outline of Statistics
Schaum's Outline of Statistics is a widely used study guide that provides concise explanations, solved problems, and practice exercises to help students learn and review fundamental statistics concepts.
-
D.
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.
-
E.
Probability, Statistics and Truth
Probability, Statistics and Truth is a foundational book by Richard von Mises that presents his frequentist interpretation of probability and explores the philosophical and practical implications 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d934ec08190acc47073758ac3c0 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014847a19481909b1249c2fe428bfc |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014cf269b48190bf58eb71a9fec897 |
completed | May 11, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014d5d10b4819086969145c2d4fb56 |
completed | May 11, 2026, 3:30 a.m. |
Created at: April 10, 2026, 5:37 a.m.