Triple
T19456472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Hermanos |
E486744
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
O Vento
"O Vento" is a popular Brazilian rock song by the band Los Hermanos, known for its melodic blend of indie rock and samba influences.
|
E1376569
|
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: O Vento | Statement: [Los Hermanos, notableWork, O Vento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O Vento Context triple: [Los Hermanos, notableWork, O Vento]
-
A.
النسيم
النسيم هو حي سكني يقع ضمن محافظة الجهراء في دولة الكويت.
-
B.
Gorona del Viento
Gorona del Viento is a pioneering hybrid wind–hydropower plant on the Spanish island of El Hierro designed to supply the island with nearly 100% renewable electricity.
-
C.
Cuatro Vientos
Cuatro Vientos is a station on Madrid’s C-5 commuter rail line, serving the Cuatro Vientos area in the southwest of the city.
-
D.
Canne al vento
Canne al vento is a novel by Italian Nobel laureate Grazia Deledda that portrays the harsh, tradition-bound life of rural Sardinia through a tragic family saga.
-
E.
Viento fuerte
Viento fuerte is a novel by Guatemalan writer and Nobel laureate Miguel Ángel Asturias that explores the social and environmental upheavals caused by foreign banana companies in Central America.
- 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: O Vento Triple: [Los Hermanos, notableWork, O Vento]
Generated description
"O Vento" is a popular Brazilian rock song by the band Los Hermanos, known for its melodic blend of indie rock and samba influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O Vento Target entity description: "O Vento" is a popular Brazilian rock song by the band Los Hermanos, known for its melodic blend of indie rock and samba influences.
-
A.
النسيم
النسيم هو حي سكني يقع ضمن محافظة الجهراء في دولة الكويت.
-
B.
Gorona del Viento
Gorona del Viento is a pioneering hybrid wind–hydropower plant on the Spanish island of El Hierro designed to supply the island with nearly 100% renewable electricity.
-
C.
Cuatro Vientos
Cuatro Vientos is a station on Madrid’s C-5 commuter rail line, serving the Cuatro Vientos area in the southwest of the city.
-
D.
Canne al vento
Canne al vento is a novel by Italian Nobel laureate Grazia Deledda that portrays the harsh, tradition-bound life of rural Sardinia through a tragic family saga.
-
E.
Viento fuerte
Viento fuerte is a novel by Guatemalan writer and Nobel laureate Miguel Ángel Asturias that explores the social and environmental upheavals caused by foreign banana companies in Central America.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c4088881908f23f25a82a513f6 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b386590819087632ce0b7375c58 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073c61707081909c25daa85176cdf4 |
completed | May 15, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073cd498788190bc1d725aeff54c07 |
completed | May 15, 2026, 3:33 p.m. |
Created at: April 10, 2026, 1:38 p.m.