Triple
T21066514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debye relaxation |
E518986
|
entity |
| Predicate | generalizedBy |
P2372
|
FINISHED |
| Object | Havriliak–Negami model |
—
|
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: Havriliak–Negami model | Statement: [Debye relaxation, generalizedBy, Havriliak–Negami model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havriliak–Negami model Context triple: [Debye relaxation, generalizedBy, Havriliak–Negami model]
-
A.
Kimura two-parameter model
The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
-
B.
Appleby–Battye f(R) model
The Appleby–Battye f(R) model is a specific modified gravity theory within the f(R) framework proposed by Appleby and Battye to explain cosmic acceleration without invoking a traditional cosmological constant.
-
C.
Lévy alpha-stable distribution
The Lévy alpha-stable distribution is a family of heavy-tailed probability distributions characterized by a stability parameter α, generalizing the normal and Cauchy distributions and often used to model impulsive or anomalous random phenomena.
-
D.
Caputo–Fabrizio derivative
The Caputo–Fabrizio derivative is a non-singular kernel formulation of fractional differentiation that modifies the classical Caputo approach to better model memory effects in physical and engineering systems.
-
E.
Grünwald–Letnikov derivative
The Grünwald–Letnikov derivative is a fundamental definition of fractional differentiation based on limit processes and finite differences, widely used as a foundation for fractional calculus.
- 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: Havriliak–Negami model Target entity description: The Havriliak–Negami model is an empirical mathematical function used in dielectric spectroscopy to describe complex, non-ideal relaxation behavior in materials by extending the simple Debye relaxation model.
-
A.
Kimura two-parameter model
The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
-
B.
Appleby–Battye f(R) model
The Appleby–Battye f(R) model is a specific modified gravity theory within the f(R) framework proposed by Appleby and Battye to explain cosmic acceleration without invoking a traditional cosmological constant.
-
C.
Lévy alpha-stable distribution
The Lévy alpha-stable distribution is a family of heavy-tailed probability distributions characterized by a stability parameter α, generalizing the normal and Cauchy distributions and often used to model impulsive or anomalous random phenomena.
-
D.
Caputo–Fabrizio derivative
The Caputo–Fabrizio derivative is a non-singular kernel formulation of fractional differentiation that modifies the classical Caputo approach to better model memory effects in physical and engineering systems.
-
E.
Grünwald–Letnikov derivative
The Grünwald–Letnikov derivative is a fundamental definition of fractional differentiation based on limit processes and finite differences, widely used as a foundation for fractional calculus.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:45 p.m.