Triple

T16304789
Position Surface form Disambiguated ID Type / Status
Subject AHHH HA E395878 entity
Predicate hasStreamingAvailability P80625 FINISHED
Object Amazon Music E31211 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: Amazon Music | Statement: [AHHH HA, hasStreamingAvailability, Amazon Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Music
Context triple: [AHHH HA, hasStreamingAvailability, Amazon Music]
  • A. Amazon Music chosen
    Amazon Music is a music streaming and digital storefront service offering on-demand songs, playlists, and podcasts across multiple devices.
  • B. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • C. BandPlay
    BandPlay is a hip-hop music producer best known for crafting hard-hitting trap beats for artists like Key Glock.
  • D. Apple Music
    Apple Music is a music and audio streaming platform offering on-demand songs, curated playlists, radio, and exclusive content across Apple and other devices.
  • E. Boomplay
    Boomplay is a leading African music streaming and download service offering a vast catalog of songs, videos, and curated playlists primarily focused on African artists and audiences.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d42f1c81908a6869244d727e99 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa16e3c81908a92225b5b57d711 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.