Triple

T6976978
Position Surface form Disambiguated ID Type / Status
Subject Piece by Piece E161738 entity
Predicate lyricType P73611 FINISHED
Object autobiographical lyrics 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: autobiographical lyrics | Statement: [Piece by Piece, lyricType, autobiographical lyrics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lyricType
Context triple: [Piece by Piece, lyricType, autobiographical lyrics]
  • A. lyricFocus
    Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
  • B. lyricsBy
    Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
  • C. lyricReference
    Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
  • D. lyricSetting
    Indicates that one entity serves as the text or lyrics that are set to music or otherwise musically realized by another entity.
  • E. lyricalPerspective
    Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db677bbc8190a084b6951e5c3182 completed March 27, 2026, 7:32 p.m.
PD Predicate disambiguation batch_69c6d7c262508190a7708b3d9cf23d7c completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6d8e2d7b48190b37bb13984663cde completed March 27, 2026, 7:22 p.m.
Created at: March 27, 2026, 2:31 p.m.