Triple
T8484675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aura |
E200802
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Romeo Santos |
E227573
|
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: Romeo Santos | Statement: [Aura, featuresArtist, Romeo Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romeo Santos Context triple: [Aura, featuresArtist, Romeo Santos]
-
A.
Romeo Santos
chosen
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.
-
B.
Jose Montaner
Jose Montaner is the entrepreneur who created the Medieval Times Dinner & Tournament chain of medieval-themed dinner theater attractions.
-
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.
Farruko
Farruko is a Puerto Rican singer and songwriter known for his influential role in reggaeton and Latin trap music.
-
E.
Don Omar
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.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe539b70c81909f8f045312f0d5f8 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb5dbfc08190827e8e886a37a8be |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:12 p.m.