Triple
T1263709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard C. Tolman |
E12555
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Principles of Statistical Mechanics
The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
|
E145215
|
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: The Principles of Statistical Mechanics | Statement: [Richard C. Tolman, notableWork, The Principles of Statistical Mechanics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Principles of Statistical Mechanics Context triple: [Richard C. Tolman, notableWork, The Principles of Statistical Mechanics]
-
A.
Boltzmann–Gibbs entropy in statistical mechanics
Boltzmann–Gibbs entropy in statistical mechanics is the standard measure of disorder or uncertainty in a system, quantifying how many microscopic configurations correspond to a given macroscopic state and forming the basis of classical equilibrium statistical mechanics.
-
B.
Carathéodory’s formulation of the second law of thermodynamics
Carathéodory’s formulation of the second law of thermodynamics is a mathematically rigorous restatement of the second law based on the inaccessibility of certain thermodynamic states, providing a foundation for the concept of entropy without relying on cyclic processes or heat engines.
-
C.
Journal of Statistical Physics
Journal of Statistical Physics is a peer-reviewed scientific journal focusing on research in statistical mechanics and related areas of theoretical physics.
-
D.
Illustrations of the Dynamical Theory of Gases
Illustrations of the Dynamical Theory of Gases is a foundational 1860 scientific paper by James Clerk Maxwell that introduced key ideas of kinetic theory and the statistical behavior of gas molecules.
-
E.
statistical physics
Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
- 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: The Principles of Statistical Mechanics Triple: [Richard C. Tolman, notableWork, The Principles of Statistical Mechanics]
Generated description
The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Principles of Statistical Mechanics Target entity description: The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
-
A.
Boltzmann–Gibbs entropy in statistical mechanics
Boltzmann–Gibbs entropy in statistical mechanics is the standard measure of disorder or uncertainty in a system, quantifying how many microscopic configurations correspond to a given macroscopic state and forming the basis of classical equilibrium statistical mechanics.
-
B.
Carathéodory’s formulation of the second law of thermodynamics
Carathéodory’s formulation of the second law of thermodynamics is a mathematically rigorous restatement of the second law based on the inaccessibility of certain thermodynamic states, providing a foundation for the concept of entropy without relying on cyclic processes or heat engines.
-
C.
Journal of Statistical Physics
Journal of Statistical Physics is a peer-reviewed scientific journal focusing on research in statistical mechanics and related areas of theoretical physics.
-
D.
Illustrations of the Dynamical Theory of Gases
Illustrations of the Dynamical Theory of Gases is a foundational 1860 scientific paper by James Clerk Maxwell that introduced key ideas of kinetic theory and the statistical behavior of gas molecules.
-
E.
statistical physics
Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc8d6908190a5b2cf1051cc6d5e |
completed | March 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac9984c21c8190a1cec6c9d2df217a |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a6c81548190a1647ef797355d53 |
completed | March 7, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9ac980f48190a23da8b222ec7601 |
completed | March 7, 2026, 9:38 p.m. |
Created at: March 1, 2026, 7:50 p.m.