Triple

T5015757
Position Surface form Disambiguated ID Type / Status
Subject AirPlay E112737 entity
Predicate formerName P65 FINISHED
Object AirTunes
AirTunes was Apple’s original wireless audio streaming technology for iTunes and AirPort Express, later expanded and rebranded as part of AirPlay.
E486626 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: AirTunes | Statement: [AirPlay, formerName, AirTunes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AirTunes
Context triple: [AirPlay, formerName, AirTunes]
  • A. 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.
  • B. iTunes
    iTunes is Apple’s media management and playback software that also served as the primary hub for purchasing and organizing digital music, movies, and other content.
  • C. Alternative Airplay
    Alternative Airplay is Billboard’s U.S. music chart that ranks the most-played songs on alternative rock radio stations.
  • D. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • E. 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.
  • 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: AirTunes
Triple: [AirPlay, formerName, AirTunes]
Generated description
AirTunes was Apple’s original wireless audio streaming technology for iTunes and AirPort Express, later expanded and rebranded as part of AirPlay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AirTunes
Target entity description: AirTunes was Apple’s original wireless audio streaming technology for iTunes and AirPort Express, later expanded and rebranded as part of AirPlay.
  • A. 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.
  • B. iTunes
    iTunes is Apple’s media management and playback software that also served as the primary hub for purchasing and organizing digital music, movies, and other content.
  • C. Alternative Airplay
    Alternative Airplay is Billboard’s U.S. music chart that ranks the most-played songs on alternative rock radio stations.
  • D. Spotify
    Spotify is a popular digital music, podcast, and video streaming service that offers on-demand and curated audio content across multiple platforms.
  • E. 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.
  • 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_69be927500ec8190b4d87ef86469777d completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be942dac9c8190a5861ca0aaa44c90 completed March 21, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_69be94a7e15481908f17feafb593b97b completed March 21, 2026, 12:52 p.m.
Created at: March 20, 2026, 1:35 p.m.