Triple
T6097186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giorgio Parisi |
E135905
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Parisi solution of spin glasses
The Parisi solution of spin glasses is a groundbreaking theoretical framework that exactly characterizes the complex energy landscape and phase structure of mean-field spin glass models through hierarchical replica symmetry breaking.
|
E569063
|
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: Parisi solution of spin glasses | Statement: [Giorgio Parisi, notableWork, Parisi solution of spin glasses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parisi solution of spin glasses Context triple: [Giorgio Parisi, notableWork, Parisi solution of spin glasses]
-
A.
Ising models
Ising models are mathematical models in statistical mechanics that describe systems of interacting binary variables (spins) on a lattice, widely used to study phase transitions, magnetism, and as a foundation for various probabilistic and machine learning models.
-
B.
Potts model
The Potts model is a generalization of the Ising model in statistical mechanics that describes interacting spins with more than two possible states, used to study phase transitions and critical phenomena.
-
C.
Langevin theory of paramagnetism
The Langevin theory of paramagnetism is a classical statistical model that explains how the magnetization of paramagnetic materials depends on temperature and applied magnetic field by treating atomic magnetic moments as non-interacting dipoles subject to thermal agitation.
-
D.
Kramers–Wannier duality in the Ising model
Kramers–Wannier duality in the Ising model is a mathematical transformation that relates the high-temperature and low-temperature phases of the two-dimensional Ising model, revealing the location of its critical point and illustrating a deep symmetry between ordered and disordered states.
-
E.
Yang–Lee theory
Yang–Lee theory is a framework in statistical mechanics and phase transition theory that studies the distribution of zeros of the partition function in the complex plane to understand critical phenomena.
- 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: Parisi solution of spin glasses Triple: [Giorgio Parisi, notableWork, Parisi solution of spin glasses]
Generated description
The Parisi solution of spin glasses is a groundbreaking theoretical framework that exactly characterizes the complex energy landscape and phase structure of mean-field spin glass models through hierarchical replica symmetry breaking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parisi solution of spin glasses Target entity description: The Parisi solution of spin glasses is a groundbreaking theoretical framework that exactly characterizes the complex energy landscape and phase structure of mean-field spin glass models through hierarchical replica symmetry breaking.
-
A.
Ising models
Ising models are mathematical models in statistical mechanics that describe systems of interacting binary variables (spins) on a lattice, widely used to study phase transitions, magnetism, and as a foundation for various probabilistic and machine learning models.
-
B.
Potts model
The Potts model is a generalization of the Ising model in statistical mechanics that describes interacting spins with more than two possible states, used to study phase transitions and critical phenomena.
-
C.
Langevin theory of paramagnetism
The Langevin theory of paramagnetism is a classical statistical model that explains how the magnetization of paramagnetic materials depends on temperature and applied magnetic field by treating atomic magnetic moments as non-interacting dipoles subject to thermal agitation.
-
D.
Kramers–Wannier duality in the Ising model
Kramers–Wannier duality in the Ising model is a mathematical transformation that relates the high-temperature and low-temperature phases of the two-dimensional Ising model, revealing the location of its critical point and illustrating a deep symmetry between ordered and disordered states.
-
E.
Yang–Lee theory
Yang–Lee theory is a framework in statistical mechanics and phase transition theory that studies the distribution of zeros of the partition function in the complex plane to understand critical phenomena.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a987ce081908cbe22940f31ee2f |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254365708190b8feb95dfb2b730d |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125d888cc819092b765d47f1d9f9f |
completed | March 23, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126f308988190ab6cb6c79ea12877 |
completed | March 23, 2026, 11:41 a.m. |
Created at: March 22, 2026, 4:12 p.m.