Triple

T12331980
Position Surface form Disambiguated ID Type / Status
Subject The Day After E293982 entity
Predicate featuresArtist P1952 FINISHED
Object Pitbull E210396 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: Pitbull | Statement: [The Day After, featuresArtist, Pitbull]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pitbull
Context triple: [The Day After, featuresArtist, Pitbull]
  • A. Pitbull chosen
    Pitbull is an American rapper, singer, and songwriter known for his high-energy party anthems and numerous international pop and Latin music collaborations.
  • B. Yandel
    Yandel is a Puerto Rican reggaeton singer and songwriter best known as one half of the duo Wisin & Yandel and for his influential solo work in Latin urban music.
  • C. Residente
    Residente is a Puerto Rican rapper, writer, and co-founder of the alternative hip hop group Calle 13, known for his socially conscious lyrics and genre-blending music.
  • D. Xzibit
    Xzibit is an American rapper, actor, and television host best known for fronting the MTV car-customization show "Pimp My Ride."
  • E. 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.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:53 p.m.