Triple

T24077531
Position Surface form Disambiguated ID Type / Status
Subject Musitron E596409 entity
Predicate isMonophonic P154767 FINISHED
Object true 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: true | Statement: [Musitron, isMonophonic, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMonophonic
Context triple: [Musitron, isMonophonic, true]
  • A. hasMonophthong
    Indicates that something possesses or features a single, pure vowel sound (a monophthong) rather than a diphthong or more complex vowel.
  • B. isMonoMixDistinctFromStereo
    Indicates that a mono mix of an audio recording is considered different in content or characteristics from its stereo version.
  • C. isMelodic
    Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
  • D. usesMultiTrackVocals
    Indicates that the subject employs multiple separately recorded vocal tracks layered together in the audio or performance.
  • E. polyphonicChannels
    Indicates that an entity supports or involves multiple independent audio or musical channels that can sound simultaneously (polyphony).
  • F. None of above. chosen

Provenance (4 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_69e288c3999c8190809b282a04813dec completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1db1e959c81909f4365b5d7f934d9 completed April 29, 2026, 10:19 a.m.
PD Predicate disambiguation batch_69f1764b1d4c8190b12590c6339c31c1 completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f1785afe3c81909be28986ffe944bf completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 10:43 p.m.