Triple

T3087056
Position Surface form Disambiguated ID Type / Status
Subject Ebony and Ivory E64395 entity
Predicate lyricalMessage P25938 FINISHED
Object people of different races living together in harmony 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: people of different races living together in harmony | Statement: [Ebony and Ivory, lyricalMessage, people of different races living together in harmony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lyricalMessage
Context triple: [Ebony and Ivory, lyricalMessage, people of different races living together in harmony]
  • A. 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.
  • B. lyricalPerspective
    Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
  • C. hasLyricalStyle
    Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
  • D. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • E. lyricFocus chosen
    Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1ec187c819084565514ebb99cdb completed March 8, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.