Triple
T10569522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar |
E249441
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Guaya Guaya
"Guaya Guaya" is a reggaeton song by Puerto Rican artist Don Omar, known for its energetic rhythm and party-themed lyrics.
|
E871940
|
NE FINISHED |
How this triple was built (4 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: Guaya Guaya | Statement: [Don Omar, notableWork, Guaya Guaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guaya Guaya Context triple: [Don Omar, notableWork, Guaya Guaya]
-
A.
Guahibo
The Guahibo are an Indigenous people of the Llanos region in Colombia and Venezuela, known for their traditionally semi-nomadic lifestyle, distinct language, and deep connection to the Orinoco River basin.
-
B.
Guagua
Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
-
C.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
D.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
E.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guaya Guaya Triple: [Don Omar, notableWork, Guaya Guaya]
Generated description
"Guaya Guaya" is a reggaeton song by Puerto Rican artist Don Omar, known for its energetic rhythm and party-themed lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guaya Guaya Target entity description: "Guaya Guaya" is a reggaeton song by Puerto Rican artist Don Omar, known for its energetic rhythm and party-themed lyrics.
-
A.
Guahibo
The Guahibo are an Indigenous people of the Llanos region in Colombia and Venezuela, known for their traditionally semi-nomadic lifestyle, distinct language, and deep connection to the Orinoco River basin.
-
B.
Guagua
Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
-
C.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
D.
Guarequena
Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
-
E.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
- F. None of above. chosen
Provenance (5 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_69d94b4c26ec8190910efdf4a236d654 |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e2f16788190bec54b250dad09a9 |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9518517608190b5036694b83f5f58 |
completed | April 10, 2026, 7:37 p.m. |
Created at: April 6, 2026, 12:37 p.m.