Triple

T22489249
Position Surface form Disambiguated ID Type / Status
Subject Web Audio API E555970 entity
Predicate coreConcept P533 FINISHED
Object BiquadFilterNode NE NERFINISHED

How this triple was built (3 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: BiquadFilterNode | Statement: [Web Audio API, coreConcept, BiquadFilterNode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BiquadFilterNode
Context triple: [Web Audio API, coreConcept, BiquadFilterNode]
  • A. Fruity Parametric EQ 2
    Fruity Parametric EQ 2 is a popular multiband equalizer plugin in FL Studio known for its precise frequency control and real-time spectrum visualization.
  • B. Butterworth filters
    Butterworth filters are a class of signal-processing filters designed to have an especially flat frequency response in the passband, making them widely used for smooth, ripple-free filtering in analog and digital systems.
  • C. AVAudioNode
    AVAudioNode is a core audio-processing class in Apple’s AVFoundation framework that represents a node in an audio signal graph, used for tasks like playback, mixing, and effects processing.
  • D. Web Audio API
    The Web Audio API is a high-level JavaScript API for creating, processing, and controlling audio in web applications, enabling complex audio effects, spatialization, and real-time audio synthesis directly in the browser.
  • E. Chebyshev filters
    Chebyshev filters are a class of analog and digital filters characterized by a steeper roll-off than Butterworth filters at the cost of ripple in either the passband (Type I) or stopband (Type II).
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BiquadFilterNode
Target entity description: BiquadFilterNode is a Web Audio API interface that applies common audio filter effects—such as low-pass, high-pass, and band-pass filtering—to audio signals in real time.
  • A. Fruity Parametric EQ 2
    Fruity Parametric EQ 2 is a popular multiband equalizer plugin in FL Studio known for its precise frequency control and real-time spectrum visualization.
  • B. Butterworth filters
    Butterworth filters are a class of signal-processing filters designed to have an especially flat frequency response in the passband, making them widely used for smooth, ripple-free filtering in analog and digital systems.
  • C. AVAudioNode
    AVAudioNode is a core audio-processing class in Apple’s AVFoundation framework that represents a node in an audio signal graph, used for tasks like playback, mixing, and effects processing.
  • D. Web Audio API chosen
    The Web Audio API is a high-level JavaScript API for creating, processing, and controlling audio in web applications, enabling complex audio effects, spatialization, and real-time audio synthesis directly in the browser.
  • E. Chebyshev filters
    Chebyshev filters are a class of analog and digital filters characterized by a steeper roll-off than Butterworth filters at the cost of ripple in either the passband (Type I) or stopband (Type II).
  • F. None of above.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3f3b4c819092bfe6495c61db46 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.