Triple
T15398528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redford Suite |
E368243
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
The Metropolis Ensemble
The Metropolis Ensemble is a New York–based contemporary chamber orchestra known for innovative collaborations and performances of new and experimental classical music.
|
E1154114
|
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 Metropolis Ensemble | Statement: [Redford Suite, associatedAct, The Metropolis Ensemble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Metropolis Ensemble Context triple: [Redford Suite, associatedAct, The Metropolis Ensemble]
-
A.
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.
-
B.
Metropolis algorithm
The Metropolis algorithm is a foundational Markov chain Monte Carlo method used to sample from complex probability distributions by accepting or rejecting proposed moves according to a specific probabilistic rule.
-
C.
Gibbs ensemble
The Gibbs ensemble is a statistical physics framework that describes the probabilistic distribution of microstates for systems in thermal equilibrium, typically at fixed temperature, volume, and particle number.
-
D.
Monte Carlo
Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
-
E.
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.
- 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 Metropolis Ensemble Triple: [Redford Suite, associatedAct, The Metropolis Ensemble]
Generated description
The Metropolis Ensemble is a New York–based contemporary chamber orchestra known for innovative collaborations and performances of new and experimental classical music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Metropolis Ensemble Target entity description: The Metropolis Ensemble is a New York–based contemporary chamber orchestra known for innovative collaborations and performances of new and experimental classical music.
-
A.
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.
-
B.
Metropolis algorithm
The Metropolis algorithm is a foundational Markov chain Monte Carlo method used to sample from complex probability distributions by accepting or rejecting proposed moves according to a specific probabilistic rule.
-
C.
Gibbs ensemble
The Gibbs ensemble is a statistical physics framework that describes the probabilistic distribution of microstates for systems in thermal equilibrium, typically at fixed temperature, volume, and particle number.
-
D.
Monte Carlo
Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
-
E.
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.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13542c908190abf765b0530c76ce |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 3:19 a.m.