Triple

T22389756
Position Surface form Disambiguated ID Type / Status
Subject You Raise Me Up E553482 entity
Predicate notableCoverPerformer P17435 FINISHED
Object Selah 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: Selah | Statement: [You Raise Me Up, notableCoverPerformer, Selah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selah
Context triple: [You Raise Me Up, notableCoverPerformer, Selah]
  • A. Selah
    "Selah" is a gospel-influenced hip-hop track by Kanye West from his 2019 album *Jesus Is King*, known for its intense choral arrangements and religious themes.
  • B. Selah chosen
    Selah is a contemporary Christian music trio known for their powerful vocal harmonies and modern arrangements of traditional hymns.
  • C. Shai Hulud
    Shai Hulud is an American hardcore/metalcore band known for its complex, melodic guitar work and introspective, socially conscious lyrics, influential in the late-1990s and 2000s underground scene.
  • D. God Song
    "God Song" is a track by the American punk rock band Bad Religion, featured on their 1990 album "Against the Grain."
  • E. Hymnen
    Hymnen is a large-scale electronic composition by Karlheinz Stockhausen that weaves together and transforms national anthems into an experimental, multi-channel sound collage.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15859853c8190b849cb34a94106da completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.