Triple

T19535132
Position Surface form Disambiguated ID Type / Status
Subject Hard Times E488748 entity
Predicate contrastBetweenMusicAndLyrics P85827 FINISHED
Object upbeat instrumentation with introspective 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: upbeat instrumentation with introspective lyrics | Statement: [Hard Times, contrastBetweenMusicAndLyrics, upbeat instrumentation with introspective lyrics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastBetweenMusicAndLyrics
Context triple: [Hard Times, contrastBetweenMusicAndLyrics, upbeat instrumentation with introspective lyrics]
  • A. contrastsMusicAndLyrics chosen
    Indicates a relationship where the music and the lyrics of a piece are set in opposition or tension with each other, highlighting their differences.
  • B. lyricalPerspective
    Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
  • C. includesMusicAndLyrics
    Indicates that something contains both the musical composition and the accompanying song lyrics as integral parts.
  • D. genreContrast
    Indicates a relationship where two or more works are compared or juxtaposed based on differences between their genres.
  • E. lyricalOpposition
    Indicates a relationship where one entity expresses disagreement, critique, or resistance toward another through lyrics or musical text.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386ddc208190962195b8aa568bed completed April 20, 2026, 2:30 p.m.
PD Predicate disambiguation batch_69e514c9c00481909b76bda67957e58b completed April 19, 2026, 5:45 p.m.
Created at: April 10, 2026, 1:41 p.m.