Triple
T15667033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Walrand |
E377212
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Probability in Electrical Engineering and Computer Science
"Probability in Electrical Engineering and Computer Science" is a textbook by Jean Walrand that introduces and applies probabilistic methods to problems in electrical engineering and computer science.
|
E1170217
|
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: Probability in Electrical Engineering and Computer Science | Statement: [Jean Walrand, notableWork, Probability in Electrical Engineering and Computer Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Probability in Electrical Engineering and Computer Science Context triple: [Jean Walrand, notableWork, Probability in Electrical Engineering and Computer Science]
-
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.
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.
-
C.
Probability Theory
Probability Theory is a foundational branch of mathematics that studies random phenomena and quantifies uncertainty using concepts such as probability measures, random variables, and distributions.
-
D.
Probability and Related Topics in Physical Sciences
"Probability and Related Topics in Physical Sciences" is a classic book by mathematician Mark Kac that introduces and applies probabilistic methods to problems in physics and related scientific fields.
-
E.
Foundations of Probability
Foundations of Probability is a seminal work by Richard von Mises that develops a frequency-based, axiomatic approach to probability theory and its philosophical foundations.
- 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: Probability in Electrical Engineering and Computer Science Triple: [Jean Walrand, notableWork, Probability in Electrical Engineering and Computer Science]
Generated description
"Probability in Electrical Engineering and Computer Science" is a textbook by Jean Walrand that introduces and applies probabilistic methods to problems in electrical engineering and computer science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Probability in Electrical Engineering and Computer Science Target entity description: "Probability in Electrical Engineering and Computer Science" is a textbook by Jean Walrand that introduces and applies probabilistic methods to problems in electrical engineering and computer science.
-
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.
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.
-
C.
Probability Theory
Probability Theory is a foundational branch of mathematics that studies random phenomena and quantifies uncertainty using concepts such as probability measures, random variables, and distributions.
-
D.
Probability and Related Topics in Physical Sciences
"Probability and Related Topics in Physical Sciences" is a classic book by mathematician Mark Kac that introduces and applies probabilistic methods to problems in physics and related scientific fields.
-
E.
Foundations of Probability
Foundations of Probability is a seminal work by Richard von Mises that develops a frequency-based, axiomatic approach to probability theory and its philosophical foundations.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1151548190a14607e762686cb1 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67a22888819092ea521bbad7bcb7 |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68fd16b88190a78772bcd0302189 |
completed | May 9, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6943d47881908c1634b43a6d6b96 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.