Triple

T35272707
Position Surface form Disambiguated ID Type / Status
Subject Champagne Poetry E1018711 entity
Predicate onAppleMusic P182674 FINISHED
Object true LITERAL 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: true | Statement: [Champagne Poetry, onAppleMusic, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onAppleMusic
Context triple: [Champagne Poetry, onAppleMusic, true]
  • A. hasAppleMusicId
    Indicates that an entity is associated with a specific identifier used by Apple Music.
  • B. hasNotableAirplay
    Indicates that something (typically a song, program, or audio content) has received a significant amount of broadcast play on radio or similar media.
  • C. tunesFor
    Indicates a relationship where one entity selects or adjusts something (such as a device, channel, or setting) specifically for the use or benefit of another entity.
  • D. isOnSpotify
    Indicates that a given entity (such as a song, album, or artist) is available or present on the Spotify platform.
  • E. associatedMusic
    Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
  • F. None of above. chosen

Provenance (4 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_69f76de5c4788190896ad598ae7d6bc6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7904a770481908ef3f788e51e8dba completed May 3, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69f78e2f52e08190a77661223a96c601 completed May 3, 2026, 6:04 p.m.
PDg Predicate description generation batch_69f78f629d508190b755848162c4e101 completed May 3, 2026, 6:09 p.m.
Created at: May 3, 2026, 4:02 p.m.