Triple

T22037437
Position Surface form Disambiguated ID Type / Status
Subject FM! E544246 entity
Predicate guestAppearance P45889 FINISHED
Object E-40 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: E-40 | Statement: [FM!, guestAppearance, E-40]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E-40
Context triple: [FM!, guestAppearance, E-40]
  • A. E-40 chosen
    E-40 is an American rapper, entrepreneur, and founding member of the hip hop group The Click, known for his influential role in West Coast and Bay Area hip hop.
  • 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. Gangsta Boo
    Gangsta Boo was an influential American rapper from Memphis best known as one of the pioneering female voices in Southern hip hop and a key figure in the rise of crunk and horrorcore rap.
  • D. Ludacris
    Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
  • E. MC Eiht
    MC Eiht is an American West Coast rapper and actor from Compton, best known as the frontman of Compton's Most Wanted and for his influential role in 1990s gangsta rap.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f32edc81909b6898af6621f56f completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.