Triple

T3056542
Position Surface form Disambiguated ID Type / Status
Subject From a Distance E60492 entity
Predicate keyLyricMotive P4921 FINISHED
Object viewing the world from afar to emphasize unity 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: viewing the world from afar to emphasize unity | Statement: [From a Distance, keyLyricMotive, viewing the world from afar to emphasize unity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyLyricMotive
Context triple: [From a Distance, keyLyricMotive, viewing the world from afar to emphasize unity]
  • A. lyricFocus
    Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
  • B. keyVerse
    Indicates that one verse is designated as the central or most thematically important verse in relation to a text, passage, or concept.
  • C. lyricalPhrase
    Indicates that one entity is a lyrical phrase or line that is part of, derived from, or associated with another entity such as a song, poem, or musical work.
  • D. lyricalPerspective
    Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
  • E. hasLyricalTheme chosen
    Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf7ebd48190ad5748a18fa9a56a completed March 8, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69ad962326e081909d5521c3d3ea3158 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:02 p.m.