Triple
T10569498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar |
E249441
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Don Omar |
E249441
|
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: Don Omar | Statement: [Don Omar, name, Don Omar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Omar Context triple: [Don Omar, name, Don Omar]
-
A.
Don Omar
chosen
Don Omar is a pioneering Puerto Rican reggaeton singer, songwriter, and producer widely regarded as one of the genre’s most influential and commercially successful artists.
-
B.
Farruko
Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
-
C.
Prince Royce
Prince Royce is a Dominican-American bachata singer and songwriter known for popular hits like his Spanish-language cover of "Stand by Me."
-
D.
Romeo Santos
Romeo Santos is an American singer, songwriter, and former lead vocalist of the bachata group Aventura, widely known as the “King of Bachata” for popularizing the genre worldwide.
-
E.
Nicky Jam
Nicky Jam is an American reggaeton singer and songwriter known for hits like "El Perdón" and "Travesuras" and for helping popularize Latin urban music worldwide.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52730fd4481908b3f4eb80ca209f2 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49658b5a48190813dcf114d92be8e |
completed | April 19, 2026, 8:46 a.m. |
Created at: April 6, 2026, 12:37 p.m.