Triple
T18366498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Peruvian music |
E440059
|
entity |
| Predicate | notableFigure |
P4290
|
FINISHED |
| Object |
Perú Negro
Perú Negro is a renowned Afro-Peruvian musical and dance ensemble celebrated for preserving and popularizing the African heritage and rhythms of Peru.
|
E1320884
|
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: Perú Negro | Statement: [Afro-Peruvian music, notableFigure, Perú Negro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perú Negro Context triple: [Afro-Peruvian music, notableFigure, Perú Negro]
-
A.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
B.
Curarén
Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
-
C.
Purén
Purén is a small town and commune in Chile’s Araucanía Region, known historically for its role in the Arauco War between the Spanish and the Mapuche people.
-
D.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
E.
El Paraíso (Peru)
El Paraíso (Peru) is an ancient preceramic archaeological complex near Lima, notable as one of the earliest large-scale monumental centers in the central Andes.
- 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: Perú Negro Triple: [Afro-Peruvian music, notableFigure, Perú Negro]
Generated description
Perú Negro is a renowned Afro-Peruvian musical and dance ensemble celebrated for preserving and popularizing the African heritage and rhythms of Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perú Negro Target entity description: Perú Negro is a renowned Afro-Peruvian musical and dance ensemble celebrated for preserving and popularizing the African heritage and rhythms of Peru.
-
A.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
B.
Curarén
Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
-
C.
Purén
Purén is a small town and commune in Chile’s Araucanía Region, known historically for its role in the Arauco War between the Spanish and the Mapuche people.
-
D.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
E.
El Paraíso (Peru)
El Paraíso (Peru) is an ancient preceramic archaeological complex near Lima, notable as one of the earliest large-scale monumental centers in the central Andes.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174e834481909453ba25561d1b1d |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d7748558819093969d121d385126 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8512d4c8190b113f7ed1f8a044c |
completed | May 13, 2026, 1:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8d863cc819098b46d5d26db05cd |
completed | May 13, 2026, 1:50 a.m. |
Created at: April 10, 2026, 10:38 a.m.