Triple
T22354973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farruko |
E552627
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Farruko |
—
|
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: Farruko | Statement: [Farruko, stageName, Farruko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farruko Context triple: [Farruko, stageName, Farruko]
-
A.
Farruko
chosen
Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
-
B.
Farruko Blanco
Farruko Blanco is a visual artist and designer known for creating striking album cover artwork, including the cover for Metro Boomin's "Heroes & Villains."
-
C.
Ozuna
Ozuna is a Puerto Rican reggaeton and Latin trap singer known for his melodic style and numerous chart-topping collaborations across Latin and global pop music.
-
D.
Eladio Carrión
Eladio Carrión is a Puerto Rican rapper and singer known for his influential work in Latin trap and reggaeton.
-
E.
Bad Bunny
Bad Bunny is a Puerto Rican Latin trap and reggaeton artist known for his genre-blending music, distinctive style, and global influence in Spanish-language pop.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ceb2308190941f6507e605a612 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.