Triple

T8577242
Position Surface form Disambiguated ID Type / Status
Subject Parallel WaveNet E203077 entity
Predicate instanceOf P0 FINISHED
Object neural vocoder architecture C24491 CONCEPT FINISHED

How this triple was built (1 step)

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.

CD Concept disambiguation gpt-5-mini-2025-08-07 
Target class: neural vocoder architecture
Context triple: [Parallel WaveNet, instanceOf, neural vocoder architecture]
  • A. autoregressive neural vocoder
    An autoregressive neural vocoder is a generative model that synthesizes high-quality audio waveforms sample-by-sample by predicting each new sample conditioned on previously generated samples and acoustic features.
  • B. autoregressive-free vocoder chosen
    An autoregressive-free vocoder is a neural audio synthesis model that generates high-quality speech or sound waveforms in parallel, without relying on step-by-step autoregressive prediction.
  • C. torch singer
    A torch singer is a vocalist who performs sentimental, often melancholic love songs with emotional intensity and a smooth, expressive style.
  • D. text-to-speech model
    A text-to-speech model is a system that converts written text into natural-sounding spoken audio using linguistic analysis and speech synthesis techniques.
  • E. speech codec
    A speech codec is a system that encodes and compresses spoken audio into a digital format for efficient transmission or storage and then decodes it back into intelligible speech.
  • F. None of above.

Provenance (1 batch)

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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:22 p.m.