Triple
T23066099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven R. White |
E575045
|
entity |
| Predicate | methodDeveloped |
P116174
|
FINISHED |
| Object | density matrix renormalization group |
—
|
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: density matrix renormalization group | Statement: [Steven R. White, methodDeveloped, density matrix renormalization group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: density matrix renormalization group Context triple: [Steven R. White, methodDeveloped, density matrix renormalization group]
-
A.
density matrix renormalization group
chosen
The density matrix renormalization group is a powerful numerical variational technique for studying low-dimensional quantum many-body systems, especially one-dimensional lattice models.
-
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.
Jordan–Wigner transformation
The Jordan–Wigner transformation is a mathematical mapping in quantum many-body physics that converts spin operators into fermionic creation and annihilation operators, enabling the study of spin systems using fermionic methods.
-
D.
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.
-
E.
Kitaev honeycomb model
The Kitaev honeycomb model is a theoretical exactly solvable quantum spin model on a two-dimensional honeycomb lattice that has become a cornerstone in the study of quantum spin liquids and topological phases of matter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodDeveloped Context triple: [Steven R. White, methodDeveloped, density matrix renormalization group]
-
A.
developedMethodUsedIn
Indicates that a method created or developed by one entity is subsequently employed or applied in another entity, such as a study, project, or process.
-
B.
developmentMethod
Indicates the process, technique, or approach used to create, build, or evolve something.
-
C.
developedMethodology
chosen
Indicates that one entity created, designed, or established a specific methodology used by another entity or in a particular context.
-
D.
method
Indicates the technique, procedure, or process used by an entity to perform an action or achieve a result.
-
E.
scriptDevelopedFor
Indicates that a script was specifically created or developed for use by, or in the context of, a particular entity or purpose.
- F. None of above.
Provenance (3 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a3e39481909cad356ad0bb3ee6 |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.