Triple
T11002207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis algorithm |
E260028
|
entity |
| Predicate | titleOfOriginalPaper |
P38
|
FINISHED |
| Object |
Equation of State Calculations by Fast Computing Machines
"Equation of State Calculations by Fast Computing Machines" is the landmark 1953 paper by Nicholas Metropolis and collaborators that introduced the Metropolis algorithm, laying foundational work for modern Monte Carlo methods in statistical physics and computational science.
|
E898978
|
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: Equation of State Calculations by Fast Computing Machines | Statement: [Metropolis algorithm, titleOfOriginalPaper, Equation of State Calculations by Fast Computing Machines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equation of State Calculations by Fast Computing Machines Context triple: [Metropolis algorithm, titleOfOriginalPaper, Equation of State Calculations by Fast Computing Machines]
-
A.
Computer experiments on classical fluids
"Computer experiments on classical fluids" is a pioneering work in computational physics that used numerical simulations to study the behavior and dynamics of classical fluid systems.
-
B.
Mayer cluster expansion in statistical mechanics
The Mayer cluster expansion in statistical mechanics is a mathematical method that expresses the thermodynamic properties of interacting particle systems as a series in terms of cluster integrals, enabling systematic analysis of non-ideal gases and liquids.
-
C.
Kirkwood approximation in statistical mechanics
The Kirkwood approximation in statistical mechanics is a method for approximating many-particle correlation functions by expressing higher-order correlations in terms of lower-order ones, simplifying the description of interacting particle systems.
-
D.
Numerical Methods for Scientists and Engineers
Numerical Methods for Scientists and Engineers is a classic textbook by Richard W. Hamming that introduces and explains practical computational techniques for solving mathematical problems in science and engineering.
-
E.
Mathematical Tables and Other Aids to Computation
Mathematical Tables and Other Aids to Computation was the original title of a pioneering journal devoted to numerical analysis, computational methods, and mathematical tables, later continued under the name Mathematics of Computation.
- 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: Equation of State Calculations by Fast Computing Machines Triple: [Metropolis algorithm, titleOfOriginalPaper, Equation of State Calculations by Fast Computing Machines]
Generated description
"Equation of State Calculations by Fast Computing Machines" is the landmark 1953 paper by Nicholas Metropolis and collaborators that introduced the Metropolis algorithm, laying foundational work for modern Monte Carlo methods in statistical physics and computational science.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Equation of State Calculations by Fast Computing Machines Target entity description: "Equation of State Calculations by Fast Computing Machines" is the landmark 1953 paper by Nicholas Metropolis and collaborators that introduced the Metropolis algorithm, laying foundational work for modern Monte Carlo methods in statistical physics and computational science.
-
A.
Computer experiments on classical fluids
"Computer experiments on classical fluids" is a pioneering work in computational physics that used numerical simulations to study the behavior and dynamics of classical fluid systems.
-
B.
Mayer cluster expansion in statistical mechanics
The Mayer cluster expansion in statistical mechanics is a mathematical method that expresses the thermodynamic properties of interacting particle systems as a series in terms of cluster integrals, enabling systematic analysis of non-ideal gases and liquids.
-
C.
Kirkwood approximation in statistical mechanics
The Kirkwood approximation in statistical mechanics is a method for approximating many-particle correlation functions by expressing higher-order correlations in terms of lower-order ones, simplifying the description of interacting particle systems.
-
D.
Numerical Methods for Scientists and Engineers
Numerical Methods for Scientists and Engineers is a classic textbook by Richard W. Hamming that introduces and explains practical computational techniques for solving mathematical problems in science and engineering.
-
E.
Mathematical Tables and Other Aids to Computation
Mathematical Tables and Other Aids to Computation was the original title of a pioneering journal devoted to numerical analysis, computational methods, and mathematical tables, later continued under the name Mathematics of Computation.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e35570b0bc8190a939b0c8e3ce8105 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:25 p.m.