Triple
T12289861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chano Pozo |
E292926
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pozo
Pozo is the surname of Chano Pozo, the influential Cuban percussionist and composer who helped pioneer Afro-Cuban jazz.
|
E975034
|
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: Pozo | Statement: [Chano Pozo, familyName, Pozo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pozo Context triple: [Chano Pozo, familyName, Pozo]
-
A.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
-
B.
Fuente Cobre
Fuente Cobre is a notable karstic spring in the Montaña Palentina region of northern Spain, traditionally regarded as one of the main sources of the Pisuerga River.
-
C.
Pitalito
Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
-
D.
Charcas
Charcas is the former name of the Bolivian city now known as Sucre, a historic colonial center and constitutional capital of Bolivia.
-
E.
Poço Redondo
Poço Redondo is a municipality in the semi-arid hinterland of the Brazilian state of Sergipe, known for its rural landscapes and traditional sertanejo culture.
- 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: Pozo Triple: [Chano Pozo, familyName, Pozo]
Generated description
Pozo is the surname of Chano Pozo, the influential Cuban percussionist and composer who helped pioneer Afro-Cuban jazz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pozo Target entity description: Pozo is the surname of Chano Pozo, the influential Cuban percussionist and composer who helped pioneer Afro-Cuban jazz.
-
A.
Pilón
Pilón is a coastal town and municipality in southeastern Cuba known for its fishing activities and proximity to the Sierra Maestra mountains.
-
B.
Fuente Cobre
Fuente Cobre is a notable karstic spring in the Montaña Palentina region of northern Spain, traditionally regarded as one of the main sources of the Pisuerga River.
-
C.
Pitalito
Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
-
D.
Charcas
Charcas is the former name of the Bolivian city now known as Sucre, a historic colonial center and constitutional capital of Bolivia.
-
E.
Poço Redondo
Poço Redondo is a municipality in the semi-arid hinterland of the Brazilian state of Sergipe, known for its rural landscapes and traditional sertanejo culture.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d21692481908c97edc3d602f1d5 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e752f3c8190ba0e273f3e41a321 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9493d081909a543bcafeb508d1 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f620ad9ec0819099909142fbad6412 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 8, 2026, 9:52 p.m.