Triple
T10569583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar |
E249441
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Los Bandoleros Reloaded |
E871977
|
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: Los Bandoleros Reloaded | Statement: [Don Omar, notableWork, Los Bandoleros Reloaded]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Bandoleros Reloaded Context triple: [Don Omar, notableWork, Los Bandoleros Reloaded]
-
A.
Los Bandoleros
chosen
Los Bandoleros is a reggaeton song and collaborative anthem by Puerto Rican artist Don Omar that became one of his signature hits in the mid-2000s.
-
B.
La Banda
La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
-
C.
Desperadoes
Desperadoes is a historical Western novel by Ron Hansen that reimagines the lives and exploits of the Dalton Gang in the American Old West.
-
D.
Desperados
Desperados is a notable literary work by Swedish author and academic Lars Gyllensten, reflecting his characteristic intellectual and philosophical style.
-
E.
Desperados
Desperados is a tequila-flavored pale lager beer brand known for its distinctive sweet, citrusy taste and strong presence in European and global youth markets.
- 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_69d95e7396a4819082cc73c736636fb9 |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:37 p.m.