Triple

T19474414
Position Surface form Disambiguated ID Type / Status
Subject Ronald N. Bracewell E487206 entity
Predicate notableWork P4 FINISHED
Object The Fourier Transform and Its Applications
The Fourier Transform and Its Applications is a classic textbook by Ronald N. Bracewell that introduces and develops Fourier analysis techniques for solving problems in engineering, physics, and applied mathematics.
E1378600 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 Fourier Transform and Its Applications | Statement: [Ronald N. Bracewell, notableWork, The Fourier Transform and Its Applications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fourier Transform and Its Applications
Context triple: [Ronald N. Bracewell, notableWork, The Fourier Transform and Its Applications]
  • 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. The Fourier Integral and Certain of Its Applications
    The Fourier Integral and Certain of Its Applications is a foundational mathematical work by Norbert Wiener that develops and applies Fourier analysis to problems in harmonic analysis and related areas.
  • C. Fourier analysis
    Fourier analysis is a mathematical method for decomposing functions or signals into sums of sinusoidal components, widely used in fields such as signal processing, physics, and engineering.
  • D. "Signals and Systems"
    "Signals and Systems" is a widely used engineering textbook that introduces the fundamental theory and applications of continuous-time and discrete-time signal processing and system analysis.
  • E. Lectures on Fourier Integrals
    Lectures on Fourier Integrals is a classic mathematical monograph by Salomon Bochner that systematically develops the theory and applications of Fourier integrals and transforms.
  • 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 Fourier Transform and Its Applications
Triple: [Ronald N. Bracewell, notableWork, The Fourier Transform and Its Applications]
Generated description
The Fourier Transform and Its Applications is a classic textbook by Ronald N. Bracewell that introduces and develops Fourier analysis techniques for solving problems in engineering, physics, and applied mathematics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Fourier Transform and Its Applications
Target entity description: The Fourier Transform and Its Applications is a classic textbook by Ronald N. Bracewell that introduces and develops Fourier analysis techniques for solving problems in engineering, physics, and applied mathematics.
  • 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. The Fourier Integral and Certain of Its Applications
    The Fourier Integral and Certain of Its Applications is a foundational mathematical work by Norbert Wiener that develops and applies Fourier analysis to problems in harmonic analysis and related areas.
  • C. Fourier analysis
    Fourier analysis is a mathematical method for decomposing functions or signals into sums of sinusoidal components, widely used in fields such as signal processing, physics, and engineering.
  • D. "Signals and Systems"
    "Signals and Systems" is a widely used engineering textbook that introduces the fundamental theory and applications of continuous-time and discrete-time signal processing and system analysis.
  • E. Lectures on Fourier Integrals
    Lectures on Fourier Integrals is a classic mathematical monograph by Salomon Bochner that systematically develops the theory and applications of Fourier integrals and transforms.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633ef69508190b0d71ef663ba8977 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0740519e888190863e5ca5f72ed951 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a07420720f881908010cdc7a140eed9 completed May 15, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0742f860948190a8619dce3e1461b8 completed May 15, 2026, 3:59 p.m.
Created at: April 10, 2026, 1:39 p.m.