Triple

T5016858
Position Surface form Disambiguated ID Type / Status
Subject Apple ecosystem E112757 entity
Predicate includesApplication P14571 FINISHED
Object Apple Music app E20627 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: Apple Music app | Statement: [Apple ecosystem, includesApplication, Apple Music app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Music app
Context triple: [Apple ecosystem, includesApplication, Apple Music app]
  • A. Apple Music chosen
    Apple Music is a music and audio streaming platform offering on-demand songs, curated playlists, radio, and exclusive content across Apple and other devices.
  • B. iTunes
    iTunes is Apple’s media management and playback software that also served as the primary hub for purchasing and organizing digital music, movies, and other content.
  • C. AirTunes
    AirTunes was Apple’s original wireless audio streaming technology for iTunes and AirPort Express, later expanded and rebranded as part of AirPlay.
  • D. Apple Podcasts (macOS app)
    Apple Podcasts is a dedicated macOS application for discovering, subscribing to, and listening to podcasts, offering curated content and library management separate from Apple’s music and media apps.
  • E. Amazon Music
    Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77c9fc7c8190b165a5cfd5889ba8 completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10b0ec0c8190bcd4503dd09667c7 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:35 p.m.