Triple

T13225409
Position Surface form Disambiguated ID Type / Status
Subject King & Queen E314867 entity
Predicate includesOriginalSongs P73613 FINISHED
Object yes 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: yes | Statement: [King & Queen, includesOriginalSongs, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesOriginalSongs
Context triple: [King & Queen, includesOriginalSongs, yes]
  • A. includesOriginalSongsBy
    Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
  • B. containsOriginalSongs chosen
    Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
  • C. includesOriginalAlbum
    Indicates that one entity (such as a release, edition, or collection) fully contains or encompasses the complete content of another entity that is designated as the original album.
  • D. includesSongsFrom
    Indicates that one collection, playlist, or set contains one or more songs that originate from another specified source or group.
  • E. hasOriginalMusicBy
    Indicates that the original musical score or soundtrack for a work was created or composed by a specified entity.
  • F. None of above.

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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3128348190836158467e9cfbe2 completed April 10, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69d98bcb21648190aef241de1e7887e2 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:19 p.m.