Triple
T17510514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mi Plan |
E426435
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Bajo Otra Luz |
—
|
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: Bajo Otra Luz | Statement: [Mi Plan, hasTrack, Bajo Otra Luz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bajo Otra Luz Context triple: [Mi Plan, hasTrack, Bajo Otra Luz]
-
A.
Bajo Otra Luz
chosen
"Bajo Otra Luz" is a Latin pop song by Nelly Furtado, featuring Julieta Venegas and La Mala Rodríguez, known for its upbeat, tropical sound and bilingual lyrics.
-
B.
No Apagues la Luz
"No Apagues la Luz" is a Spanish-language song featured on the album "Quizás" by Enrique Iglesias.
-
C.
Luz e Sombra
Luz e Sombra is a conceptual artwork by Brazilian artist Regina Silveira that explores light, shadow, and perception through bold, illusionistic visual interventions.
-
D.
Los motivos de Luz
Los motivos de Luz is a Mexican drama film centered on a woman confronting personal and social struggles, noted for Ana Ofelia Murguía’s acclaimed performance.
-
E.
La Otra Mitad del Sol
La Otra Mitad del Sol is a Colombian telenovela best known for featuring actress María Cecilia Botero in a prominent role.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525b03c48190ada74a7da0f4739c |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.