Triple

T19377088
Position Surface form Disambiguated ID Type / Status
Subject Dynamical Mean-Field Theory E484699 entity
Predicate appliesTo P1129 FINISHED
Object Kondo lattice model
The Kondo lattice model is a theoretical framework in condensed matter physics that describes conduction electrons interacting with a periodic array of localized magnetic moments, often used to study heavy-fermion behavior and related correlated electron phenomena.
E1372793 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: Kondo lattice model | Statement: [Dynamical Mean-Field Theory, appliesTo, Kondo lattice model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kondo lattice model
Context triple: [Dynamical Mean-Field Theory, appliesTo, Kondo lattice model]
  • A. Anderson impurity model
    The Anderson impurity model is a theoretical framework in condensed matter physics that describes a localized electronic state (impurity) with Coulomb interactions hybridizing with a continuum of conduction electrons, central to understanding phenomena like the Kondo effect.
  • B. t-J model
    The t-J model is a theoretical framework in condensed matter physics used to describe strongly correlated electrons on a lattice, particularly in the study of high-temperature superconductivity.
  • C. Hubbard model
    The Hubbard model is a fundamental theoretical model in condensed matter physics that describes interacting electrons on a lattice and is widely used to study phenomena such as magnetism, metal–insulator transitions, and high-temperature superconductivity.
  • D. Dynamical Mean-Field Theory
    Dynamical Mean-Field Theory is a non-perturbative theoretical approach in condensed matter physics that captures local electronic correlations by mapping lattice models onto self-consistent quantum impurity problems, enabling the study of phenomena such as the Mott metal–insulator transition.
  • E. Luttinger liquid theory
    Luttinger liquid theory is a framework describing the collective, non-Fermi-liquid behavior of interacting electrons in one-dimensional conductors, where excitations are best understood as bosonic density waves rather than quasiparticles.
  • 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: Kondo lattice model
Triple: [Dynamical Mean-Field Theory, appliesTo, Kondo lattice model]
Generated description
The Kondo lattice model is a theoretical framework in condensed matter physics that describes conduction electrons interacting with a periodic array of localized magnetic moments, often used to study heavy-fermion behavior and related correlated electron phenomena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kondo lattice model
Target entity description: The Kondo lattice model is a theoretical framework in condensed matter physics that describes conduction electrons interacting with a periodic array of localized magnetic moments, often used to study heavy-fermion behavior and related correlated electron phenomena.
  • A. Anderson impurity model
    The Anderson impurity model is a theoretical framework in condensed matter physics that describes a localized electronic state (impurity) with Coulomb interactions hybridizing with a continuum of conduction electrons, central to understanding phenomena like the Kondo effect.
  • B. t-J model
    The t-J model is a theoretical framework in condensed matter physics used to describe strongly correlated electrons on a lattice, particularly in the study of high-temperature superconductivity.
  • C. Hubbard model
    The Hubbard model is a fundamental theoretical model in condensed matter physics that describes interacting electrons on a lattice and is widely used to study phenomena such as magnetism, metal–insulator transitions, and high-temperature superconductivity.
  • D. Dynamical Mean-Field Theory
    Dynamical Mean-Field Theory is a non-perturbative theoretical approach in condensed matter physics that captures local electronic correlations by mapping lattice models onto self-consistent quantum impurity problems, enabling the study of phenomena such as the Mott metal–insulator transition.
  • E. Luttinger liquid theory
    Luttinger liquid theory is a framework describing the collective, non-Fermi-liquid behavior of interacting electrons in one-dimensional conductors, where excitations are best understood as bosonic density waves rather than quasiparticles.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5cfbf48190ac60e3ffa6baa263 completed April 20, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241dfc208190896705ec6890b6f7 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0724fd84988190a7eedab55f97bf84 completed May 15, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_6a0725d8da888190a94622b54d68d7c6 completed May 15, 2026, 1:55 p.m.
Created at: April 10, 2026, 1:35 p.m.