Triple

T23260280
Position Surface form Disambiguated ID Type / Status
Subject "Watch My Shoes" E581984 entity
Predicate performer P1363 FINISHED
Object Lil Boosie 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: Lil Boosie | Statement: ["Watch My Shoes", performer, Lil Boosie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lil Boosie
Context triple: ["Watch My Shoes", performer, Lil Boosie]
  • A. Lil Boosie chosen
    Lil Boosie, also known as Boosie Badazz, is an American rapper from Baton Rouge, Louisiana, known for his gritty Southern hip-hop style, prolific mixtape output, and outspoken, often controversial public persona.
  • 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. 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.
  • D. Kevin Gates
    Kevin Gates is an American rapper and singer known for his emotionally raw lyrics, melodic Southern trap sound, and projects like the album "Islah."
  • E. Jeezy
    Jeezy is an American rapper from Atlanta known for his influential role in popularizing trap music in the mid-2000s.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c9189c8190a13c17c635227f42 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.