Triple

T15398283
Position Surface form Disambiguated ID Type / Status
Subject Make the Music 2000 E368237 entity
Predicate featuresVocalPercussion P118643 FINISHED
Object extensive human beatboxing 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: extensive human beatboxing | Statement: [Make the Music 2000, featuresVocalPercussion, extensive human beatboxing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresVocalPercussion
Context triple: [Make the Music 2000, featuresVocalPercussion, extensive human beatboxing]
  • A. featuresVocalEnsemble
    Indicates that something includes or presents a group of vocal performers singing together.
  • B. featuresVocalHarmonyBy
    Indicates that the subject work includes vocal harmony performances contributed by the specified artist or group.
  • C. featuresVocalist
    Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
  • D. featuresRhythm
    Indicates that something includes, exhibits, or is characterized by a particular rhythmic pattern or structure.
  • E. vocalForces
    Indicates a relationship where one entity uses vocal expression (such as speech, singing, or sound) to exert influence, pressure, or compulsion on another entity.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8c5d40819086622b70edcb6294 completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27b8cac8190bfa77698d53c5d1c completed April 14, 2026, 11:49 p.m.
PDg Predicate description generation batch_69ded57005608190886cd01f640dfedb completed April 15, 2026, 12:01 a.m.
Created at: April 10, 2026, 3:19 a.m.