Triple

T8007599
Position Surface form Disambiguated ID Type / Status
Subject The Morning E186400 entity
Predicate appearsOnStreamingServices P3189 FINISHED
Object Apple Music 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 | Statement: [The Morning, appearsOnStreamingServices, Apple Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Music
Context triple: [The Morning, appearsOnStreamingServices, Apple Music]
  • 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. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5697ac9081909fe7ca06d0c3ef38 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:18 p.m.