Triple

T31649
Position Surface form Disambiguated ID Type / Status
Subject Nash embedding theorem E631 entity
Predicate usesMethod P859 FINISHED
Object implicit function theorem
The implicit function theorem is a fundamental result in calculus and differential geometry that guarantees, under suitable smoothness and nondegeneracy conditions, the local solvability of equations for some variables as differentiable functions of others.
E3650 NE FINISHED

How this triple was built (5 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: implicit function theorem | Statement: [Nash embedding theorem, usesMethod, implicit function theorem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: implicit function theorem
Context triple: [Nash embedding theorem, usesMethod, implicit function theorem]
  • A. Nash embedding theorem
    The Nash embedding theorem is a fundamental result in differential geometry that shows any Riemannian manifold can be isometrically embedded into some Euclidean space, thereby realizing abstract curved spaces as concrete subsets of standard Euclidean space.
  • B. Feynman–Hellmann theorem
    The Feynman–Hellmann theorem is a result in quantum mechanics that relates the derivative of an energy eigenvalue with respect to a parameter in the Hamiltonian to the expectation value of the corresponding derivative of the Hamiltonian.
  • C. Feynman–Kac formula
    The Feynman–Kac formula is a fundamental result connecting solutions of certain partial differential equations with expectations over stochastic processes, forming a bridge between quantum mechanics, probability theory, and mathematical finance.
  • D. Hilbert spaces
    Hilbert spaces are complete inner product spaces that provide the fundamental framework for modern functional analysis and many areas of mathematical physics.
  • E. Differential analyzer
    The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
  • 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: implicit function theorem
Triple: [Nash embedding theorem, usesMethod, implicit function theorem]
Generated description
The implicit function theorem is a fundamental result in calculus and differential geometry that guarantees, under suitable smoothness and nondegeneracy conditions, the local solvability of equations for some variables as differentiable functions of others.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: implicit function theorem
Target entity description: The implicit function theorem is a fundamental result in calculus and differential geometry that guarantees, under suitable smoothness and nondegeneracy conditions, the local solvability of equations for some variables as differentiable functions of others.
  • A. Nash embedding theorem
    The Nash embedding theorem is a fundamental result in differential geometry that shows any Riemannian manifold can be isometrically embedded into some Euclidean space, thereby realizing abstract curved spaces as concrete subsets of standard Euclidean space.
  • B. Feynman–Hellmann theorem
    The Feynman–Hellmann theorem is a result in quantum mechanics that relates the derivative of an energy eigenvalue with respect to a parameter in the Hamiltonian to the expectation value of the corresponding derivative of the Hamiltonian.
  • C. Feynman–Kac formula
    The Feynman–Kac formula is a fundamental result connecting solutions of certain partial differential equations with expectations over stochastic processes, forming a bridge between quantum mechanics, probability theory, and mathematical finance.
  • D. Hilbert spaces
    Hilbert spaces are complete inner product spaces that provide the fundamental framework for modern functional analysis and many areas of mathematical physics.
  • E. Differential analyzer
    The Differential Analyzer is an early analog mechanical computer designed to solve differential equations using interconnected rotating shafts and wheels.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMethod
Context triple: [Nash embedding theorem, usesMethod, implicit function theorem]
  • A. usesComputationMethod
    Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
  • B. method chosen
    Indicates the technique, procedure, or process used by an entity to perform an action or achieve a result.
  • C. usedSupplyMethod
    Indicates that an entity employed a particular method or process to supply or deliver something.
  • D. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • E. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • F. None of above.

Provenance (6 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a249ec0d288190ac3a0939db61813b completed Feb. 28, 2026, 1:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e5ec6308190ad27b8b28b3f59d2 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250c8cf7c8190b71c65d204d21fd8 completed Feb. 28, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69a25147eccc8190b6151a03b064d31c completed Feb. 28, 2026, 2:22 a.m.
PD Predicate disambiguation batch_69a24870417081909c7c01e400c94716 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.