Triple

T15736645
Position Surface form Disambiguated ID Type / Status
Subject Boris Gnedenko E381488 entity
Predicate areaOfInfluence P9 FINISHED
Object Soviet school of probability theory E379004 NE FINISHED

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: Soviet school of probability theory | Statement: [Boris Gnedenko, areaOfInfluence, Soviet school of probability theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet school of probability theory
Context triple: [Boris Gnedenko, areaOfInfluence, Soviet school of probability theory]
  • A. Soviet school of probability theory chosen
    The Soviet school of probability theory was a highly influential mathematical tradition that developed rigorous foundations and advanced methods in probability and stochastic processes, led by figures such as Kolmogorov, Khinchin, and their students.
  • B. Foundations of the Theory of Probability
    Foundations of the Theory of Probability is a landmark 1933 monograph that rigorously established modern probability theory on an axiomatic measure-theoretic basis.
  • C. 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.
  • 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. Mathematical Methods of Statistics
    Mathematical Methods of Statistics is a foundational 1946 textbook that helped formalize modern mathematical statistics, particularly in the areas of probability theory and statistical inference.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd6eb888190b7a9b07b76e62c0d completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8300a4248190ba52573b57f31b36 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.