Triple

T13334545
Position Surface form Disambiguated ID Type / Status
Subject Sterling K. Brown E317654 entity
Predicate notableWork P4 FINISHED
Object Waves E918389 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: [Sterling K. Brown, notableWork, Waves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waves
Context triple: [Sterling K. Brown, notableWork, Waves]
  • A. Waves
    "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 chosen
    Waves is a 2019 American drama film written and directed by Trey Edward Shults that follows a suburban African-American family coping with love, loss, and forgiveness.
  • D. 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.
  • E. Wellen
    Wellen is a municipality in the Belgian province of Limburg, known for its rural character and fruit-growing landscape.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.