Triple

T7853057
Position Surface form Disambiguated ID Type / Status
Subject Peter Whittle E182102 entity
Predicate notableWork P4 FINISHED
Object Probability via Expectation
"Probability via Expectation" is a foundational textbook by Peter Whittle that develops probability theory with a strong emphasis on the role of expectation as the central conceptual tool.
E695665 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 via Expectation | Statement: [Peter Whittle, notableWork, Probability via Expectation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Probability via Expectation
Context triple: [Peter Whittle, notableWork, Probability via Expectation]
  • A. 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.
  • B. Bayes’ theorem
    Bayes’ theorem is a fundamental result in probability theory that describes how to update the probability of a hypothesis based on new evidence.
  • C. 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.
  • D. Foundations of Probability
    Foundations of Probability is a seminal textbook by mathematician Alfréd Rényi that presents a rigorous, axiomatic treatment of probability theory.
  • 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.
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 via Expectation
Triple: [Peter Whittle, notableWork, Probability via Expectation]
Generated description
"Probability via Expectation" is a foundational textbook by Peter Whittle that develops probability theory with a strong emphasis on the role of expectation as the central conceptual tool.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Probability via Expectation
Target entity description: "Probability via Expectation" is a foundational textbook by Peter Whittle that develops probability theory with a strong emphasis on the role of expectation as the central conceptual tool.
  • A. 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.
  • B. Bayes’ theorem
    Bayes’ theorem is a fundamental result in probability theory that describes how to update the probability of a hypothesis based on new evidence.
  • C. 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.
  • D. Foundations of Probability
    Foundations of Probability is a seminal textbook by mathematician Alfréd Rényi that presents a rigorous, axiomatic treatment of probability theory.
  • 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 (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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b161a4881909641f3a29c1650b4 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb5f1c9ef08190b1b79482f39966c7 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb767b198481909cfc1f7a44e6f0d8 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:51 p.m.