Triple
T8426598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailar Contigo |
E199010
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Bailar Contigo |
E199010
|
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: Bailar Contigo | Statement: [Bailar Contigo, hasTitle, Bailar Contigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bailar Contigo Context triple: [Bailar Contigo, hasTitle, Bailar Contigo]
-
A.
Bailar Contigo
chosen
"Bailar Contigo" is a song by Colombian singer and rapper Karol G from her album "Mañana Será Bonito (Bichota Season)."
-
B.
Contigo
Contigo is a popular consumer brand known for its durable, spill-proof travel mugs, water bottles, and hydration products.
-
C.
Besame Mucho
"Bésame Mucho" is a classic bolero-style love song, originally written in Spanish and widely covered across genres, including a notable rendition by The Coasters.
-
D.
Oye Mi Canto
"Oye Mi Canto" is a popular reggaeton track best known for helping bring the genre into mainstream Latin and U.S. urban music audiences in the early 2000s.
-
E.
Dile Que Tú Me Quieres
"Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd122af6481908fbe53fe30bdd135 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0364f294819091ef9f39429f3fb5 |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:07 p.m.