Triple
T16253263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Vierci |
E394564
|
entity |
| Predicate | authorOf |
P4244
|
FINISHED |
| Object | De la noche a la mañana |
E1202978
|
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: De la noche a la mañana | Statement: [Pablo Vierci, authorOf, De la noche a la mañana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De la noche a la mañana Context triple: [Pablo Vierci, authorOf, De la noche a la mañana]
-
A.
De la noche a la mañana
chosen
De la noche a la mañana is a notable work by Uruguayan writer and journalist Pablo Vierci, recognized within his literary output.
-
B.
Madrugada
Madrugada is a Norwegian rock band known for its dark, atmospheric sound and influential role in the Scandinavian alternative rock scene.
-
C.
Noche y de Día
"Noche y de Día" is a Spanish-language song by Enrique Iglesias from his album "Sex and Love," blending pop and urban influences.
-
D.
Hasta el Amanecer
"Hasta el Amanecer" is a hit reggaeton single by Nicky Jam known for its romantic lyrics and widespread success across Latin music charts.
-
E.
La noche
"La noche" is a painting by Spanish realist master Antonio López García, exemplifying his meticulous, atmospheric depictions of everyday urban scenes.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24598c9488190a92df7d8b1824724 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b1e22c8190bddca67661121c2d |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.