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.