Triple

T16498132
Position Surface form Disambiguated ID Type / Status
Subject Hash Pipe E400735 entity
Predicate featuresHeavyDistortion P56451 FINISHED
Object yes LITERAL 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: yes | Statement: [Hash Pipe, featuresHeavyDistortion, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresHeavyDistortion
Context triple: [Hash Pipe, featuresHeavyDistortion, yes]
  • A. hasGuitarEffect chosen
    Indicates that one entity applies, uses, or is associated with a particular guitar effect in relation to another entity.
  • B. hasHeavierSoundThan
    Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
  • C. featuresDrumMachine
    Indicates that something includes or makes use of a drum machine as part of its composition or functionality.
  • D. notableInstrumentFeature
    Indicates that an instrument is distinguished by a particular characteristic, quality, or component that is especially noteworthy or defining.
  • E. featuresRhythm
    Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
  • F. None of above.

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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3505f48190a6891a5f29377212 completed April 18, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e296902d6c8190884ddb612b8c5b36 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.