Triple

T21449904
Position Surface form Disambiguated ID Type / Status
Subject Love Power E529180 entity
Predicate title P38 FINISHED
Object Love Power NE NERFINISHED

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: Love Power | Statement: [Love Power, title, Love Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Power
Context triple: [Love Power, title, Love Power]
  • A. Love Power chosen
    "Love Power" is a pop ballad best known for its 1987 recording by Dionne Warwick and Jeffrey Osborne, co-written by Carole Bayer Sager and Burt Bacharach.
  • B. Sweet Power
    Sweet Power is a Japanese talent agency known for managing popular actresses and entertainers.
  • C. Soul Power
    Soul Power is a concert documentary film capturing the legendary 1974 music festival in Kinshasa, Zaire, featuring performances by prominent soul, funk, and R&B artists.
  • D. Soul Power
    Soul Power is a track featured on Common's genre-blending hip-hop album "Electric Circus."
  • E. Power of Soul
    "Power of Soul" is a funk-rock song by Jimi Hendrix, performed with his Band of Gypsys and noted for its heavy groove, innovative guitar work, and socially conscious lyrics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d281c0819080c3f8a58947a115 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:06 p.m.