Triple

T21097439
Position Surface form Disambiguated ID Type / Status
Subject Layzie Bone E519803 entity
Predicate associatedAct P37 FINISHED
Object Bizzy Bone 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: Bizzy Bone | Statement: [Layzie Bone, associatedAct, Bizzy Bone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bizzy Bone
Context triple: [Layzie Bone, associatedAct, Bizzy Bone]
  • A. Bizzy Bone chosen
    Bizzy Bone is an American rapper best known as a member of the Grammy-winning hip hop group Bone Thugs-n-Harmony, recognized for his rapid-fire delivery and melodic style.
  • B. Bizzy Banks
    Bizzy Banks is a Brooklyn-based rapper recognized for his energetic flow and key role in popularizing the modern New York drill sound.
  • C. Layzie Bone
    Layzie Bone is an American rapper best known as a member of the Grammy-winning hip hop group Bone Thugs-n-Harmony.
  • D. Killa Bounce
    Killa Bounce is a track featured on the album "Purple Haze 2" by rapper Cam'ron.
  • E. Booty Brown
    Booty Brown is an American rapper and member of the alternative hip hop group The Pharcyde, known for his distinctive voice and contributions to the 1990s West Coast underground scene.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5a3a9481908e30fba9717dc461 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.