Triple

T13723035
Position Surface form Disambiguated ID Type / Status
Subject No Shelter E329084 entity
Predicate lyricsCriticize P25938 FINISHED
Object consumer culture 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: consumer culture | Statement: [No Shelter, lyricsCriticize, consumer culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lyricsCriticize
Context triple: [No Shelter, lyricsCriticize, consumer culture]
  • A. featuresIntrospectiveLyrics
    Indicates that the subject contains lyrics characterized by self-reflection, inner thought, or personal emotional examination.
  • B. lyricsBy
    Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
  • C. lyricFocus chosen
    Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
  • D. lyricReference
    Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
  • E. lyricType
    Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69dbbe92d77c81908e0244cffb7f78c5 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:55 p.m.