Triple

T15949163
Position Surface form Disambiguated ID Type / Status
Subject Kanye West – GOOD Fridays series E386768 entity
Predicate hasPart P35 FINISHED
Object The Joy E828399 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: The Joy | Statement: [Kanye West – GOOD Fridays series, hasPart, The Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Joy
Context triple: [Kanye West – GOOD Fridays series, hasPart, The Joy]
  • A. The Joy chosen
    The Joy is a Nigerian gospel music collective known for its vibrant, contemporary worship sound and collaborations within the GOOD Fridays release series.
  • B. Lord of Joy
    Lord of Joy is an epithet of the ancient Egyptian child-god Ihy, who embodies music, festivity, and ecstatic celebration.
  • C. Big Joy
    Big Joy is a film celebrating the life and avant-garde artistic legacy of poet and filmmaker James Broughton.
  • D. The Joy That Never Ends
    The Joy That Never Ends is an album by Dutch minimalist composer and lute player Jozef van Wissem, known for its meditative, hypnotic lute pieces that blend early music with contemporary experimental sounds.
  • E. Bliss
    Bliss is a surname most notably associated with Lucille Bliss, an American voice actress known for her work in classic animated films and television series.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c207588190a3d17e5f09d12997 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.