Triple

T12560105
Position Surface form Disambiguated ID Type / Status
Subject Up First E295318 entity
Predicate distributionPlatform P1486 FINISHED
Object NPR One E295310 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: NPR One | Statement: [Up First, distributionPlatform, NPR One]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NPR One
Context triple: [Up First, distributionPlatform, NPR One]
  • A. NPR One chosen
    NPR One is a personalized, digital listening app and platform from NPR that curates public radio news, stories, and podcasts for on-demand streaming.
  • B. TuneIn
    TuneIn is a streaming service that provides live radio, music, news, sports, and podcasts from stations and creators around the world across multiple devices and platforms.
  • C. 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.
  • D. iHeartRadio
    iHeartRadio is a free broadcast and internet radio platform that offers live radio stations, music playlists, and podcasts across the United States and beyond.
  • E. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954933e7c819083471c627ce55ff1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb71c548190826d243a354bd01c completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 11:48 p.m.