Triple

T5016545
Position Surface form Disambiguated ID Type / Status
Subject Apple Music E112751 entity
Predicate hasRadioStation P14095 FINISHED
Object Apple Music Hits
Apple Music Hits is a curated Apple Music radio station focused on playing popular hit songs from past decades.
 E486177 NE FINISHED

How this triple was built (4 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 Hits | Statement: [Apple Music, hasRadioStation, Apple Music Hits]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apple Music Hits
Context triple: [Apple Music, hasRadioStation, Apple Music Hits]
  • A. Alternative Airplay
    Alternative Airplay is Billboard’s U.S. music chart that ranks the most-played songs on alternative rock radio stations.
  • B. 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.
  • C. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • D. MTV Hits
    MTV Hits is a music television channel focused on playing contemporary hit music videos and related pop culture programming.
  • E. US Adult Top 40
    US Adult Top 40 is a Billboard radio airplay chart that ranks the most popular adult-oriented pop and rock songs in the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Apple Music Hits
Triple: [Apple Music, hasRadioStation, Apple Music Hits]
Generated description
Apple Music Hits is a curated Apple Music radio station focused on playing popular hit songs from past decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apple Music Hits
Target entity description: Apple Music Hits is a curated Apple Music radio station focused on playing popular hit songs from past decades.
  • A. Alternative Airplay
    Alternative Airplay is Billboard’s U.S. music chart that ranks the most-played songs on alternative rock radio stations.
  • B. 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.
  • C. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • D. MTV Hits
    MTV Hits is a music television channel focused on playing contemporary hit music videos and related pop culture programming.
  • E. US Adult Top 40
    US Adult Top 40 is a Billboard radio airplay chart that ranks the most popular adult-oriented pop and rock songs in the United States.
  • F. None of above. chosen

Provenance (5 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd732f4c5c8190b90f8e4daab458ee completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9278421c8190b142466c099c7d1c completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be938580588190bec22c1e8f7f4028 completed March 21, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_69be942f29488190adfc096c8c5781ac completed March 21, 2026, 12:50 p.m.
Created at: March 20, 2026, 1:35 p.m.