Triple
T1656598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Langevin |
E35812
|
entity |
| Predicate | theory |
P450
|
FINISHED |
| Object |
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.
|
E187794
|
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: Langevin theory of paramagnetism | Statement: [Paul Langevin, theory, Langevin theory of paramagnetism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langevin theory of paramagnetism Context triple: [Paul Langevin, theory, Langevin theory of paramagnetism]
-
A.
Curie law of magnetization
The Curie law of magnetization is a fundamental principle in magnetism stating that the magnetic susceptibility of a paramagnetic material is inversely proportional to its absolute temperature.
-
B.
Landau theory of second-order phase transitions
Landau theory of second-order phase transitions is a phenomenological framework that explains continuous phase transitions by expanding the free energy in terms of an order parameter and analyzing symmetry-breaking behavior near critical points.
-
C.
Pauli paramagnetism
Pauli paramagnetism is the weak, temperature-independent magnetic response of conduction electrons in a metal arising from their spin alignment described by Fermi–Dirac statistics.
-
D.
Onsager reciprocal relations
Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
-
E.
Steinmetz’s law of hysteresis
Steinmetz’s law of hysteresis is an empirical formula that relates the energy loss in magnetic materials to the maximum magnetic flux density, widely used in electrical engineering to estimate core losses in transformers and other AC magnetic devices.
- 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: Langevin theory of paramagnetism Triple: [Paul Langevin, theory, Langevin theory of paramagnetism]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langevin theory of paramagnetism Target entity description: 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.
-
A.
Curie law of magnetization
The Curie law of magnetization is a fundamental principle in magnetism stating that the magnetic susceptibility of a paramagnetic material is inversely proportional to its absolute temperature.
-
B.
Landau theory of second-order phase transitions
Landau theory of second-order phase transitions is a phenomenological framework that explains continuous phase transitions by expanding the free energy in terms of an order parameter and analyzing symmetry-breaking behavior near critical points.
-
C.
Pauli paramagnetism
Pauli paramagnetism is the weak, temperature-independent magnetic response of conduction electrons in a metal arising from their spin alignment described by Fermi–Dirac statistics.
-
D.
Onsager reciprocal relations
Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
-
E.
Steinmetz’s law of hysteresis
Steinmetz’s law of hysteresis is an empirical formula that relates the energy loss in magnetic materials to the maximum magnetic flux density, widely used in electrical engineering to estimate core losses in transformers and other AC magnetic devices.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb4535180819088e3bdaa591dcdbd |
completed | March 7, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad68254a6081909c2222fd77dff648 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68a9769081908a0748b8d02b8379 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad692d61288190ad0c0265f49643ac |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:29 p.m.