Triple
T1812384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozuna |
E40358
|
entity |
| Predicate | secondStudioAlbum |
P6981
|
FINISHED |
| Object | Aura |
E200802
|
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: Aura | Statement: [Ozuna, secondStudioAlbum, Aura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aura Context triple: [Ozuna, secondStudioAlbum, Aura]
-
A.
Aura
chosen
Aura is a popular reggaeton and Latin trap album by Puerto Rican singer Ozuna, known for its melodic style and chart-topping hits.
-
B.
Aura Music
Aura Music is a music-related entity associated with Puerto Rican reggaeton and Latin trap artist Ozuna, likely involved in the production or promotion of his work.
-
C.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
-
D.
Dani Ardor
Dani Ardor is the emotionally traumatized American graduate student who becomes entangled with a sinister Swedish pagan cult in Ari Aster’s 2019 folk horror film "Midsommar."
-
E.
URA
URA (Universities Research Association) is a consortium of research universities that collaborates to advance high-energy physics and other scientific research through managing and supporting major research facilities and projects.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c775408190b4f5912786720e28 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf5b1dbc8190a57430bf129173e4 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.