Triple
T22489266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web Audio API |
E555970
|
entity |
| Predicate | coreConcept |
P533
|
FINISHED |
| Object | IIRFilterNode |
—
|
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: IIRFilterNode | Statement: [Web Audio API, coreConcept, IIRFilterNode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IIRFilterNode Context triple: [Web Audio API, coreConcept, IIRFilterNode]
-
A.
Digital Filters
"Digital Filters" is a foundational work in signal processing that systematically presents the theory, design, and practical implementation of filters for processing discrete-time signals.
-
B.
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.
-
C.
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.
-
D.
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.
-
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: IIRFilterNode Target entity description: IIRFilterNode is a Web Audio API interface that applies an infinite impulse response (IIR) filter to an audio signal for efficient, customizable frequency shaping.
-
A.
Digital Filters
"Digital Filters" is a foundational work in signal processing that systematically presents the theory, design, and practical implementation of filters for processing discrete-time signals.
-
B.
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.
-
C.
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.
-
D.
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.
-
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
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.