Triple
T10048014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrojack |
E207666
|
entity |
| Predicate | associatedAct |
P37
|
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: [Afrojack, associatedAct, Pitbull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitbull Context triple: [Afrojack, associatedAct, 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2828f3980819083d041f09e63d8e6 |
completed | April 5, 2026, 3:41 p.m. |
Created at: March 30, 2026, 8:56 p.m.