Triple

T5016560
Position Surface form Disambiguated ID Type / Status
Subject Apple Music E112751 entity
Predicate supportsControlMethod P43307 FINISHED
Object voice control via Siri 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: voice control via Siri | Statement: [Apple Music, supportsControlMethod, voice control via Siri]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsControlMethod
Context triple: [Apple Music, supportsControlMethod, voice control via Siri]
  • A. canControl
    Indicates that one entity has the ability or authority to direct, manage, or influence the behavior or state of another entity.
  • B. supportsBusController
    Indicates that one entity provides the necessary functionality or compatibility to operate, manage, or interface with a bus controller for another entity.
  • C. controlMethods chosen
    Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
  • D. supportsOperationsIn
    Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
  • E. supportsSpeedControls
    Indicates that an entity provides or is compatible with mechanisms to adjust or control speed.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd732f4c5c8190b90f8e4daab458ee completed March 20, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69bd714ecfe08190b5830cfc1c74fa17 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:35 p.m.