Triple
T12568435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul-André Meyer |
E295532
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Martingales and stochastic integrals in the theory of continuous trading |
E59640
|
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: Martingales and stochastic integrals in the theory of continuous trading | Statement: [Paul-André Meyer, notableWork, Martingales and stochastic integrals in the theory of continuous trading]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martingales and stochastic integrals in the theory of continuous trading Context triple: [Paul-André Meyer, notableWork, Martingales and stochastic integrals in the theory of continuous trading]
-
A.
Merton’s jump-diffusion model
Merton’s jump-diffusion model is a financial model that extends the Black–Scholes framework by incorporating sudden, random price jumps in addition to continuous diffusion to better capture real-world asset price dynamics.
-
B.
martingale representation theorem
chosen
The martingale representation theorem is a fundamental result in stochastic calculus stating that, under suitable conditions, every martingale can be expressed as a stochastic integral with respect to a Brownian motion (or more generally, a fundamental martingale).
-
C.
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.
-
D.
Itô–Stratonovich conversion formula
The Itô–Stratonovich conversion formula is a key result in stochastic calculus that provides the explicit relationship for transforming stochastic integrals between the Itô and Stratonovich interpretations.
-
E.
Feynman–Kac formula
The Feynman–Kac formula is a fundamental result connecting solutions of certain partial differential equations with expectations over stochastic processes, forming a bridge between quantum mechanics, probability theory, and mathematical finance.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655914f908190afbebbec3cb57e73 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:50 p.m.