Triple

T3139483
Position Surface form Disambiguated ID Type / Status
Subject Malik B. E65608 entity
Predicate notableSong P4 FINISHED
Object Distortion to Static E330130 NE FINISHED

How this triple was built (2 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: Distortion to Static | Statement: [Malik B., notableSong, Distortion to Static]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Distortion to Static
Context triple: [Malik B., notableSong, Distortion to Static]
  • A. Distortion to Static chosen
    "Distortion to Static" is a song by hip-hop band The Roots, featured on their album "Do You Want More?!!!??!" and known for its jazzy, experimental production and intricate lyricism.
  • B. Noise
    Noise is a modular cryptographic protocol framework used to design secure, lightweight handshake and transport protocols for encrypted communication.
  • C. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • D. Audio Magic Eraser
    Audio Magic Eraser is a Google Pixel feature that uses AI to intelligently remove or reduce unwanted background sounds from recorded audio.
  • E. White Noise
    White Noise is a postmodern novel by Don DeLillo that satirically explores contemporary American life, consumer culture, and the pervasive fear of death through the story of a college professor and his family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada575bbac81909b1b95126f488809 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e11c508190b69c16dfb5313fc2 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:05 p.m.