Triple

T18420179
Position Surface form Disambiguated ID Type / Status
Subject May This Be Love E442000 entity
Predicate hasAlternateTitle P39 FINISHED
Object Waterfall 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: Waterfall | Statement: [May This Be Love, hasAlternateTitle, Waterfall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterfall
Context triple: [May This Be Love, hasAlternateTitle, Waterfall]
  • A. Waterfall
    Waterfall is a modern, upscale mixed-use suburb in Midrand, South Africa, known for its residential estates, business parks, and retail developments.
  • B. Waterfall chosen
    "Waterfall" is a melodic, guitar-driven song by English rock band The Stone Roses, widely regarded as one of the standout tracks from their influential 1989 debut album.
  • C. Waterfall
    "Waterfall" is a famous lithograph print by M. C. Escher that depicts an impossible perpetual-motion watercourse feeding a paradoxical waterfall.
  • D. Waterfall
    "Waterfall" is a 1987 pop-rock song by the duo Wendy & Lisa, known for its melodic hooks and atmospheric production following their tenure with Prince and The Revolution.
  • E. Waterfall
    "Waterfall" is a popular 1994 R&B single by the American girl group TLC, known for its socially conscious lyrics and smooth, melodic production.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2b0f0481909c3995bf532162a3 completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.