Triple

T18865088
Position Surface form Disambiguated ID Type / Status
Subject Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy E461416 entity
Predicate usedIn P98 FINISHED
Object nonequilibrium Green’s function methods
Nonequilibrium Green’s function methods are a theoretical framework in quantum many-body physics used to study time-dependent and transport properties of systems driven out of equilibrium, particularly in condensed matter and nanoscale devices.
E1347494 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: nonequilibrium Green’s function methods | Statement: [Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy, usedIn, nonequilibrium Green’s function methods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: nonequilibrium Green’s function methods
Context triple: [Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy, usedIn, nonequilibrium Green’s function methods]
  • A. Born expansion of Green’s function
    The Born expansion of Green’s function is a perturbative series representation used in scattering theory to express the Green’s function as a sum of successive interaction terms.
  • B. 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.
  • C. Gutzwiller approximation
    The Gutzwiller approximation is a variational method in condensed matter physics used to study strongly correlated electron systems, particularly metal–insulator (Mott) transitions in lattice models like the Hubbard model.
  • D. 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.
  • E. Bogoliubov–de Gennes equations
    The Bogoliubov–de Gennes equations are a set of coupled mean-field equations that describe quasiparticle excitations in superconductors and superfluids by extending Bogoliubov’s transformation to spatially inhomogeneous 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: nonequilibrium Green’s function methods
Triple: [Bogoliubov–Born–Green–Kirkwood–Yvon hierarchy, usedIn, nonequilibrium Green’s function methods]
Generated description
Nonequilibrium Green’s function methods are a theoretical framework in quantum many-body physics used to study time-dependent and transport properties of systems driven out of equilibrium, particularly in condensed matter and nanoscale devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: nonequilibrium Green’s function methods
Target entity description: Nonequilibrium Green’s function methods are a theoretical framework in quantum many-body physics used to study time-dependent and transport properties of systems driven out of equilibrium, particularly in condensed matter and nanoscale devices.
  • A. Born expansion of Green’s function
    The Born expansion of Green’s function is a perturbative series representation used in scattering theory to express the Green’s function as a sum of successive interaction terms.
  • B. 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.
  • C. Gutzwiller approximation
    The Gutzwiller approximation is a variational method in condensed matter physics used to study strongly correlated electron systems, particularly metal–insulator (Mott) transitions in lattice models like the Hubbard model.
  • D. 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.
  • E. Bogoliubov–de Gennes equations
    The Bogoliubov–de Gennes equations are a set of coupled mean-field equations that describe quasiparticle excitations in superconductors and superfluids by extending Bogoliubov’s transformation to spatially inhomogeneous 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a3e9a48190a4d44728635ac368 completed April 20, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575b902ec8190bcda2ab33b87bea4 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a057927ddd881908809c9c27e1ae5a2 completed May 14, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0579982b4c8190a7cff4d2946bc15d completed May 14, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:57 a.m.