Triple

T18479436
Position Surface form Disambiguated ID Type / Status
Subject Tauberian theorems E451517 entity
Predicate relatedConcept P37 FINISHED
Object Wiener’s Tauberian theorem
Wiener’s Tauberian theorem is a fundamental result in harmonic analysis that characterizes when the translates of a function on the real line span a dense subspace of certain function spaces, with key applications to summability methods and Fourier analysis.
E451517 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: Wiener’s Tauberian theorem | Statement: [Tauberian theorems, relatedConcept, Wiener’s Tauberian theorem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiener’s Tauberian theorem
Context triple: [Tauberian theorems, relatedConcept, Wiener’s Tauberian theorem]
  • A. Tauberian theorems
    Tauberian theorems are results in mathematical analysis that connect the behavior of transformed series or integrals (such as those summed by Abel or Cesàro methods) back to the asymptotic behavior or convergence of the original sequences or series.
  • B. Paley–Wiener theorem
    The Paley–Wiener theorem is a fundamental result in harmonic analysis that characterizes which functions arise as Fourier transforms of compactly supported functions (or distributions), linking analytic properties of entire functions with support properties in the original domain.
  • C. Herglotz's theorem
    Herglotz's theorem is a fundamental result in harmonic analysis and probability theory that characterizes positive-definite functions on the unit circle via representing measures.
  • D. Dirichlet theorem on Fourier series
    The Dirichlet theorem on Fourier series gives conditions under which a periodic function can be represented by a convergent Fourier series, specifying how and where the series converges to the function.
  • E. Dunford–Schwartz theorem
    The Dunford–Schwartz theorem is a fundamental result in functional analysis and ergodic theory that provides convergence properties for iterates of certain linear operators on L¹ and L^∞ spaces.
  • 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: Wiener’s Tauberian theorem
Triple: [Tauberian theorems, relatedConcept, Wiener’s Tauberian theorem]
Generated description
Wiener’s Tauberian theorem is a fundamental result in harmonic analysis that characterizes when the translates of a function on the real line span a dense subspace of certain function spaces, with key applications to summability methods and Fourier analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiener’s Tauberian theorem
Target entity description: Wiener’s Tauberian theorem is a fundamental result in harmonic analysis that characterizes when the translates of a function on the real line span a dense subspace of certain function spaces, with key applications to summability methods and Fourier analysis.
  • A. Tauberian theorems chosen
    Tauberian theorems are results in mathematical analysis that connect the behavior of transformed series or integrals (such as those summed by Abel or Cesàro methods) back to the asymptotic behavior or convergence of the original sequences or series.
  • B. Paley–Wiener theorem
    The Paley–Wiener theorem is a fundamental result in harmonic analysis that characterizes which functions arise as Fourier transforms of compactly supported functions (or distributions), linking analytic properties of entire functions with support properties in the original domain.
  • C. Herglotz's theorem
    Herglotz's theorem is a fundamental result in harmonic analysis and probability theory that characterizes positive-definite functions on the unit circle via representing measures.
  • D. Dirichlet theorem on Fourier series
    The Dirichlet theorem on Fourier series gives conditions under which a periodic function can be represented by a convergent Fourier series, specifying how and where the series converges to the function.
  • E. Dunford–Schwartz theorem
    The Dunford–Schwartz theorem is a fundamental result in functional analysis and ergodic theory that provides convergence properties for iterates of certain linear operators on L¹ and L^∞ spaces.
  • F. None of above.

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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53065e8388190bb216dae89f8cf75 completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04713658008190bacb6a16cd6cb719 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a0472a21b588190ba1fce35f34166cd completed May 13, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_6a04743126f88190983910523394649f completed May 13, 2026, 12:53 p.m.
Created at: April 10, 2026, 11:35 a.m.