Triple

T16986032
Position Surface form Disambiguated ID Type / Status
Subject Jay-Z and Kanye West E412067 entity
Predicate notableWork P4 FINISHED
Object Niggas in Paris E88114 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: Niggas in Paris | Statement: [Jay-Z and Kanye West, notableWork, Niggas in Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niggas in Paris
Context triple: [Jay-Z and Kanye West, notableWork, Niggas in Paris]
  • A. Niggas in Paris chosen
    "Niggas in Paris" is a hit hip-hop single by Jay-Z and Kanye West known for its energetic production, repetitive hook, and iconic live performances.
  • B. N.O. Nigga
    N.O. Nigga is a New Orleans-based rapper whose vocals are sampled in Drake’s hit song “In My Feelings.”
  • C. Niggaz Know
    "Niggaz Know" is a track by J. Cole from his album "Born Sinner," known for its introspective lyrics and dark, moody production.
  • D. Feed Tha Streets
    Feed Tha Streets is a mixtape series by American rapper Roddy Ricch that helped establish his reputation in the hip-hop scene.
  • E. Niggas Bleed
    "Niggas Bleed" is a storytelling rap track by The Notorious B.I.G. from his posthumous double album "Life After Death," known for its cinematic narrative about a high-stakes robbery.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18af95c8190a25ef0614e1a17f3 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1109a081908890bbd5958c76c2 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.