Triple

T19256736
Position Surface form Disambiguated ID Type / Status
Subject Apocalypse E481535 entity
Predicate hasPart P35 FINISHED
Object Power of Love 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: Power of Love | Statement: [Apocalypse, hasPart, Power of Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Power of Love
Context triple: [Apocalypse, hasPart, Power of Love]
  • A. Power of Love chosen
    "Power of Love" is a pop ballad popularized by American singer Laura Branigan, known for its powerful vocals and emotive, romantic lyrics.
  • B. Power to Love
    Power to Love is an alternate title for Jimi Hendrix’s soulful rock song “Power of Soul,” known for its funk-infused groove and expressive guitar work.
  • C. Power of Love/Love Power
    "Power of Love/Love Power" is a Grammy-winning R&B song by Luther Vandross that showcases his soulful vocals and became one of his signature hits in the early 1990s.
  • D. Make Love to Me
    "Make Love to Me" is a popular 1954 traditional pop song best known for being a major hit recording by American singer Jo Stafford.
  • E. Fire of Love
    Fire of Love is a 2022 National Geographic documentary film that chronicles the lives, love, and explosive volcano-chasing careers of French volcanologists Katia and Maurice Krafft.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.