Triple

T17460967
Position Surface form Disambiguated ID Type / Status
Subject Internet Money E425148 entity
Predicate associatedAct P37 FINISHED
Object A Boogie wit da Hoodie 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: A Boogie wit da Hoodie | Statement: [Internet Money, associatedAct, A Boogie wit da Hoodie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Boogie wit da Hoodie
Context triple: [Internet Money, associatedAct, A Boogie wit da Hoodie]
  • A. A Boogie wit da Hoodie chosen
    A Boogie wit da Hoodie is an American rapper, singer, and songwriter from the Bronx known for his melodic trap style and introspective lyrics.
  • B. Booba
    Booba is a prominent French rapper and entrepreneur known for his influential role in the French hip-hop scene and numerous hit albums and collaborations.
  • C. Waka Flocka Flame
    Waka Flocka Flame is an American rapper known for his aggressive trap sound and hits like "No Hands" and "Hard in da Paint."
  • D. Tee Grizzley
    Tee Grizzley is an American rapper from Detroit known for his gritty storytelling and breakout hit "First Day Out."
  • E. Meek Mill
    Meek Mill is an American rapper from Philadelphia known for his gritty street anthems, high-energy delivery, and prominent role in both mainstream hip-hop and criminal justice reform advocacy.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3031c8190ab1dd0d41b002dd2 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.