Triple

T21972873
Position Surface form Disambiguated ID Type / Status
Subject Daniel Stroock E542634 entity
Predicate notableWork P4 FINISHED
Object Diffusion Processes and Their Sample Paths NE NERFINISHED

How this triple was built (3 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: Diffusion Processes and Their Sample Paths | Statement: [Daniel Stroock, notableWork, Diffusion Processes and Their Sample Paths]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diffusion Processes and Their Sample Paths
Context triple: [Daniel Stroock, notableWork, Diffusion Processes and Their Sample Paths]
  • A. "Continuous Markov Processes and Stochastic Equations"
    "Continuous Markov Processes and Stochastic Equations" is a foundational mathematical work that rigorously develops the theory of continuous-time Markov processes and their representation via stochastic differential equations.
  • B. Lyons' rough path theory
    Lyons' rough path theory is a mathematical framework that extends classical calculus to analyze and solve differential equations driven by highly irregular signals, such as paths with low regularity or stochastic processes like Brownian motion.
  • C. Stochastic Differential Equations and Applications
    "Stochastic Differential Equations and Applications" is a foundational mathematical text by Avner Friedman that develops the theory and diverse applications of stochastic differential equations.
  • D. Processus stochastiques et mouvement brownien
    Processus stochastiques et mouvement brownien is a foundational mathematical work by Paul Lévy that develops the theory of stochastic processes and Brownian motion.
  • E. The Mathematics of Diffusion
    The Mathematics of Diffusion is a classic scientific monograph by John Crank that rigorously develops the theory and mathematical methods for analyzing diffusion processes in physics, chemistry, and engineering.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diffusion Processes and Their Sample Paths
Target entity description: "Diffusion Processes and Their Sample Paths" is a foundational mathematical monograph that rigorously develops the theory of diffusion processes and their path properties within the framework of stochastic analysis and probability theory.
  • A. "Continuous Markov Processes and Stochastic Equations"
    "Continuous Markov Processes and Stochastic Equations" is a foundational mathematical work that rigorously develops the theory of continuous-time Markov processes and their representation via stochastic differential equations.
  • B. Lyons' rough path theory
    Lyons' rough path theory is a mathematical framework that extends classical calculus to analyze and solve differential equations driven by highly irregular signals, such as paths with low regularity or stochastic processes like Brownian motion.
  • C. Stochastic Differential Equations and Applications
    "Stochastic Differential Equations and Applications" is a foundational mathematical text by Avner Friedman that develops the theory and diverse applications of stochastic differential equations.
  • D. Processus stochastiques et mouvement brownien
    Processus stochastiques et mouvement brownien is a foundational mathematical work by Paul Lévy that develops the theory of stochastic processes and Brownian motion.
  • E. The Mathematics of Diffusion
    The Mathematics of Diffusion is a classic scientific monograph by John Crank that rigorously develops the theory and mathematical methods for analyzing diffusion processes in physics, chemistry, and engineering.
  • F. None of above. chosen

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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124857dcc8190ab474cd8ab9c130a completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.