Triple

T3064563
Position Surface form Disambiguated ID Type / Status
Subject Ingrid Daubechies E62072 entity
Predicate knownFor P22 FINISHED
Object Daubechies wavelets
Daubechies wavelets are a family of compactly supported orthogonal wavelets widely used in signal processing and image compression for their efficient time-frequency localization.
 E324056 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: Daubechies wavelets | Statement: [Ingrid Daubechies, knownFor, Daubechies wavelets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daubechies wavelets
Context triple: [Ingrid Daubechies, knownFor, Daubechies wavelets]
  • A. Ten Lectures on Wavelets
    Ten Lectures on Wavelets is a foundational monograph by Ingrid Daubechies that systematically introduces the theory and applications of wavelets in mathematics and signal processing.
  • B. Ingrid Daubechies
    Ingrid Daubechies is a Belgian physicist and mathematician renowned for her pioneering work in wavelet theory and its applications to signal processing, image compression, and data analysis.
  • C. Fourier
    Fourier is a French surname most famously associated with Jean-Baptiste Joseph Fourier, the mathematician and physicist known for developing Fourier analysis and Fourier series.
  • D. Wigner distribution function
    The Wigner distribution function is a quasi-probability distribution used in quantum mechanics and signal processing to represent quantum states in phase space, often exhibiting non-classical features such as negative values.
  • E. Jacobi polynomials
    Jacobi polynomials are a family of classical orthogonal polynomials depending on two parameters, widely used in approximation theory, numerical analysis, and solutions of differential equations.
  • 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: Daubechies wavelets
Triple: [Ingrid Daubechies, knownFor, Daubechies wavelets]
Generated description
Daubechies wavelets are a family of compactly supported orthogonal wavelets widely used in signal processing and image compression for their efficient time-frequency localization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daubechies wavelets
Target entity description: Daubechies wavelets are a family of compactly supported orthogonal wavelets widely used in signal processing and image compression for their efficient time-frequency localization.
  • A. Ten Lectures on Wavelets
    Ten Lectures on Wavelets is a foundational monograph by Ingrid Daubechies that systematically introduces the theory and applications of wavelets in mathematics and signal processing.
  • B. Ingrid Daubechies
    Ingrid Daubechies is a Belgian physicist and mathematician renowned for her pioneering work in wavelet theory and its applications to signal processing, image compression, and data analysis.
  • C. Fourier
    Fourier is a French surname most famously associated with Jean-Baptiste Joseph Fourier, the mathematician and physicist known for developing Fourier analysis and Fourier series.
  • D. Wigner distribution function
    The Wigner distribution function is a quasi-probability distribution used in quantum mechanics and signal processing to represent quantum states in phase space, often exhibiting non-classical features such as negative values.
  • E. Jacobi polynomials
    Jacobi polynomials are a family of classical orthogonal polynomials depending on two parameters, widely used in approximation theory, numerical analysis, and solutions of differential equations.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea2154c8190ab243feb77170a15 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f878e1148190934ff7ed5a52b6ad completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f908ee3081909126bc3797658fca completed March 11, 2026, 11:21 p.m.
NED2 Entity disambiguation (via description) batch_69b1f99f7aec8190bb35ef4ddf64735c completed March 11, 2026, 11:24 p.m.
Created at: March 8, 2026, 3:02 p.m.