Triple

T3776496
Position Surface form Disambiguated ID Type / Status
Subject FML E83319 entity
Predicate follows P134 FINISHED
Object Waves E264553 NE 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: Waves | Statement: [FML, follows, Waves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waves
Context triple: [FML, follows, Waves]
  • A. Waves chosen
    "Waves" is a smooth, atmospheric R&B song by Miguel that showcases his sensual vocals and genre-blending production.
  • B. Waves
    The Waves is the nickname for the athletic teams that represent Pepperdine University in intercollegiate sports.
  • C. Waves
    "Waves" is a melodic, gospel-influenced hip-hop song by Kanye West featuring Chris Brown and Kid Cudi, known for its soaring chorus and spiritual themes.
  • D. My Wave
    "My Wave" is a song by the American rock band Soundgarden from their 1994 album *Superunknown*, showcasing their heavy, experimental grunge sound and unusual time signatures.
  • E. The Sound
    The Sound is the strait between Denmark and Sweden that connects the Baltic Sea to the Kattegat and is one of the world's busiest waterways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.