Triple
T23464426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parisi–Sourlas mechanism |
E569065
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | random field Ising model |
—
|
NE NERFINISHED |
How this triple was built (2 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: random field Ising model | Statement: [Parisi–Sourlas mechanism, relatedTo, random field Ising model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: random field Ising model Context triple: [Parisi–Sourlas mechanism, relatedTo, random field Ising model]
-
A.
Ising models
chosen
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.
Statistical Physics of Fields
Statistical Physics of Fields is a graduate-level textbook by Mehran Kardar that presents modern field-theoretic methods and renormalization group techniques for problems in statistical mechanics and condensed matter physics.
-
D.
Fortuin–Kasteleyn random cluster model
The Fortuin–Kasteleyn random cluster model is a unifying probabilistic framework in statistical mechanics that represents spin systems and percolation models, notably providing a graphical reformulation of the Potts model.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69f1a6f9e59081909e8cf224ee46109c |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.