Triple

T4808009
Position Surface form Disambiguated ID Type / Status
Subject PonoMusic E106993 entity
Predicate product P490 FINISHED
Object PonoPlayer E106993 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: PonoPlayer | Statement: [PonoMusic, product, PonoPlayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PonoPlayer
Context triple: [PonoMusic, product, PonoPlayer]
  • A. PonoMusic chosen
    PonoMusic was a high-resolution digital music service and dedicated audio player brand aimed at delivering studio-quality sound to consumers.
  • B. Okayplayer
    Okayplayer is a music and culture platform and community founded by Questlove that focuses on hip-hop, soul, and alternative music.
  • C. Stem Player
    Stem Player is a handheld audio device and music player that lets users isolate, remix, and manipulate individual stems of songs in real time.
  • D. Rdio
    Rdio was an online music streaming service known for its sleek design and social features, founded by Skype co-founder Janus Friis and launched in 2010.
  • E. Nokia MixRadio
    Nokia MixRadio was a music streaming and discovery service developed by Nokia, offering personalized, offline-capable mixes primarily for Nokia smartphones.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6a98a481909ef273d9946906a4 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:23 p.m.