Triple
T14012483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakov Sinai |
E337117
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sinai–Ruelle–Bowen measure
The Sinai–Ruelle–Bowen measure is an invariant probability measure used in dynamical systems theory to describe the statistical behavior of chaotic systems, particularly those with hyperbolic dynamics.
|
E1073071
|
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: Sinai–Ruelle–Bowen measure | Statement: [Yakov Sinai, notableWork, Sinai–Ruelle–Bowen measure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinai–Ruelle–Bowen measure Context triple: [Yakov Sinai, notableWork, Sinai–Ruelle–Bowen measure]
-
A.
Kolmogorov–Sinai entropy
Kolmogorov–Sinai entropy is a fundamental invariant in dynamical systems theory that quantifies the average rate of information production or unpredictability of a measure-preserving transformation.
-
B.
Young tower construction in nonuniformly hyperbolic dynamics
"Young tower construction in nonuniformly hyperbolic dynamics" is a foundational work in dynamical systems that introduced a powerful tower-based method for analyzing statistical properties such as decay of correlations and limit theorems in nonuniformly hyperbolic systems.
-
C.
Kakutani–Rokhlin towers
Kakutani–Rokhlin towers are combinatorial structures in ergodic theory that decompose a measure-preserving transformation into stacked levels (or “towers”) to analyze its dynamical and measure-theoretic properties.
-
D.
Kakutani equivalence in ergodic theory
Kakutani equivalence in ergodic theory is a notion of equivalence between measure-preserving dynamical systems based on the isomorphism of their induced transformations on subsets of positive measure.
-
E.
Lectures on Ergodic Theory
"Lectures on Ergodic Theory" is a classic mathematical monograph that systematically develops the foundations and key results of ergodic theory within dynamical systems.
- 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: Sinai–Ruelle–Bowen measure Triple: [Yakov Sinai, notableWork, Sinai–Ruelle–Bowen measure]
Generated description
The Sinai–Ruelle–Bowen measure is an invariant probability measure used in dynamical systems theory to describe the statistical behavior of chaotic systems, particularly those with hyperbolic dynamics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sinai–Ruelle–Bowen measure Target entity description: The Sinai–Ruelle–Bowen measure is an invariant probability measure used in dynamical systems theory to describe the statistical behavior of chaotic systems, particularly those with hyperbolic dynamics.
-
A.
Kolmogorov–Sinai entropy
Kolmogorov–Sinai entropy is a fundamental invariant in dynamical systems theory that quantifies the average rate of information production or unpredictability of a measure-preserving transformation.
-
B.
Young tower construction in nonuniformly hyperbolic dynamics
"Young tower construction in nonuniformly hyperbolic dynamics" is a foundational work in dynamical systems that introduced a powerful tower-based method for analyzing statistical properties such as decay of correlations and limit theorems in nonuniformly hyperbolic systems.
-
C.
Kakutani–Rokhlin towers
Kakutani–Rokhlin towers are combinatorial structures in ergodic theory that decompose a measure-preserving transformation into stacked levels (or “towers”) to analyze its dynamical and measure-theoretic properties.
-
D.
Kakutani equivalence in ergodic theory
Kakutani equivalence in ergodic theory is a notion of equivalence between measure-preserving dynamical systems based on the isomorphism of their induced transformations on subsets of positive measure.
-
E.
Lectures on Ergodic Theory
"Lectures on Ergodic Theory" is a classic mathematical monograph that systematically develops the foundations and key results of ergodic theory within dynamical systems.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.