Triple
T13993337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique |
E336634
|
entity |
| Predicate | leadSingle |
P15292
|
FINISHED |
| Object | Bailamos |
E1073725
|
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: Bailamos | Statement: [Enrique, leadSingle, Bailamos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bailamos Context triple: [Enrique, leadSingle, Bailamos]
-
A.
Bailamos
chosen
"Bailamos" is a 1999 Latin pop song by Spanish singer Enrique Iglesias that became an international hit and helped popularize Latin music in the mainstream English-language market.
-
B.
Bailar Contigo
"Bailar Contigo" is a song by Colombian singer and rapper Karol G from her album "Mañana Será Bonito (Bichota Season)."
-
C.
Bailando
"Bailando" is a popular Latin pop song by Enrique Iglesias, known for its infectious rhythm and international success in both Spanish and English versions.
-
D.
Dancina
Dancina is a song by the artist Empress, known for its catchy, danceable pop sound.
-
E.
Judba
Judba is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and political center of Torghar District.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0934b74819094ec7309c23a3e2a |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:19 p.m.