Triple
T20335705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gipsy Kings |
E492605
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Un Amor
"Un Amor" is a popular flamenco rumba song by the Gipsy Kings, known for its passionate vocals and distinctive Mediterranean guitar sound.
|
E1425826
|
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: Un Amor | Statement: [Gipsy Kings, notableWork, Un Amor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Un Amor Context triple: [Gipsy Kings, notableWork, Un Amor]
-
A.
Amante del Amor
"Amante del Amor" is a romantic Latin pop song featured on the album "20 Años."
-
B.
Enamorada
Enamorada is a classic 1946 Mexican romantic drama film directed by Emilio Fernández, celebrated for its expressive cinematography and performances by María Félix and Pedro Armendáriz.
-
C.
Te amaré
"Te amaré" is a popular romantic ballad by Spanish singer Miguel Bosé, known for its emotive lyrics and enduring presence in Latin pop music.
-
D.
Un Poco de Amor
"Un Poco de Amor" is a Spanish-language pop song by Colombian singer-songwriter Shakira from her breakthrough album "Pies Descalzos."
-
E.
Amore
Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
- 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: Un Amor Triple: [Gipsy Kings, notableWork, Un Amor]
Generated description
"Un Amor" is a popular flamenco rumba song by the Gipsy Kings, known for its passionate vocals and distinctive Mediterranean guitar sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Un Amor Target entity description: "Un Amor" is a popular flamenco rumba song by the Gipsy Kings, known for its passionate vocals and distinctive Mediterranean guitar sound.
-
A.
Amante del Amor
"Amante del Amor" is a romantic Latin pop song featured on the album "20 Años."
-
B.
Enamorada
Enamorada is a classic 1946 Mexican romantic drama film directed by Emilio Fernández, celebrated for its expressive cinematography and performances by María Félix and Pedro Armendáriz.
-
C.
Te amaré
"Te amaré" is a popular romantic ballad by Spanish singer Miguel Bosé, known for its emotive lyrics and enduring presence in Latin pop music.
-
D.
Un Poco de Amor
"Un Poco de Amor" is a Spanish-language pop song by Colombian singer-songwriter Shakira from her breakthrough album "Pies Descalzos."
-
E.
Amore
Amore is a studio album by Italian tenor Andrea Bocelli that blends pop and classical crossover interpretations of romantic songs.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677eb4d5881908ea5ec5a1dd7eafa |
completed | April 20, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0869587df48190996936ccf1b87f1c |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a086af1f6e08190bcf1adfb619d77b2 |
completed | May 16, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086b7abb3081909087c965ca8a6793 |
completed | May 16, 2026, 1:04 p.m. |
Created at: April 16, 2026, 11:23 a.m.