Triple

T23464302
Position Surface form Disambiguated ID Type / Status
Subject Parisi solution of spin glasses E569063 entity
Predicate appliesTo P1129 FINISHED
Object Sherrington–Kirkpatrick model
The Sherrington–Kirkpatrick model is a mean-field theoretical model of spin glasses that captures the complex energy landscape and disorder-driven phase behavior of randomly interacting magnetic spins.
E1589824 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: Sherrington–Kirkpatrick model | Statement: [Parisi solution of spin glasses, appliesTo, Sherrington–Kirkpatrick model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherrington–Kirkpatrick model
Context triple: [Parisi solution of spin glasses, appliesTo, Sherrington–Kirkpatrick model]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. replica symmetry breaking
    Replica symmetry breaking is a theoretical framework in statistical physics and spin glass theory that describes how a system’s many equivalent microscopic states can split into a complex hierarchy of inequivalent states, revealing a rugged energy landscape and complex phase structure.
  • E. Potts glass
    Potts glass is a disordered spin system generalizing the Potts model to include random, frustrated interactions, widely studied as a model of glassy behavior in statistical physics.
  • 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: Sherrington–Kirkpatrick model
Triple: [Parisi solution of spin glasses, appliesTo, Sherrington–Kirkpatrick model]
Generated description
The Sherrington–Kirkpatrick model is a mean-field theoretical model of spin glasses that captures the complex energy landscape and disorder-driven phase behavior of randomly interacting magnetic spins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sherrington–Kirkpatrick model
Target entity description: The Sherrington–Kirkpatrick model is a mean-field theoretical model of spin glasses that captures the complex energy landscape and disorder-driven phase behavior of randomly interacting magnetic spins.
  • A. 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.
  • B. 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.
  • C. 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.
  • D. replica symmetry breaking
    Replica symmetry breaking is a theoretical framework in statistical physics and spin glass theory that describes how a system’s many equivalent microscopic states can split into a complex hierarchy of inequivalent states, revealing a rugged energy landscape and complex phase structure.
  • E. Potts glass
    Potts glass is a disordered spin system generalizing the Potts model to include random, frustrated interactions, widely studied as a model of glassy behavior in statistical physics.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69f0a54819084c19c248a572253 completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c82530b8081908e04e647180d8195 completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6efb0d88190bf15b18cc3f12482 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:54 p.m.