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.