Triple

T1447624
Position Surface form Disambiguated ID Type / Status
Subject Amazon Music E31211 entity
Predicate formerName P65 FINISHED
Object Amazon MP3 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 MP3 | Statement: [Amazon Music, formerName, Amazon MP3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon MP3
Context triple: [Amazon Music, formerName, Amazon MP3]
  • 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. Audible
    Audible is a leading audiobook and spoken-word entertainment platform that offers a vast library of audio content through digital downloads and streaming.
  • C. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • D. Music Concourse
    Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
  • E. Google Play Music (legacy)
    Google Play Music (legacy) was Google’s former music streaming and cloud locker service that allowed users to upload, purchase, and stream music across devices before being replaced by YouTube Music.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55aa7dc8190aa7452d80ec8305e completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c229808190af9936b481390170 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.