Triple
T8428040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pies Descalzos |
E199050
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Pienso en Ti
"Pienso en Ti" is a Spanish-language pop song by Colombian singer-songwriter Shakira from her early career.
|
E731886
|
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: Pienso en Ti | Statement: [Pies Descalzos, hasTrack, Pienso en Ti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pienso en Ti Context triple: [Pies Descalzos, hasTrack, Pienso en Ti]
-
A.
Si No Te Quiere
"Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
-
B.
Te Acordarás de Mí
"Te Acordarás de Mí" is a pop song by Mexican singer and actress Eiza González, known as one of the key singles from her music career.
-
C.
Dile Que Tú Me Quieres
"Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
-
D.
Te Amo
"Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
-
E.
Sueña conmigo
Sueña conmigo is a Latin American musical telenovela aimed at teens, known for combining romance, music, and dance in a story about aspiring young performers.
- 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: Pienso en Ti Triple: [Pies Descalzos, hasTrack, Pienso en Ti]
Generated description
"Pienso en Ti" is a Spanish-language pop song by Colombian singer-songwriter Shakira from her early career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pienso en Ti Target entity description: "Pienso en Ti" is a Spanish-language pop song by Colombian singer-songwriter Shakira from her early career.
-
A.
Si No Te Quiere
"Si No Te Quiere" is a breakthrough reggaeton/Latin trap song by Puerto Rican artist Ozuna that helped launch him to international fame.
-
B.
Te Acordarás de Mí
"Te Acordarás de Mí" is a pop song by Mexican singer and actress Eiza González, known as one of the key singles from her music career.
-
C.
Dile Que Tú Me Quieres
"Dile Que Tú Me Quieres" is a popular reggaeton song by Puerto Rican artist Ozuna that helped propel his rise in the Latin urban music scene.
-
D.
Te Amo
"Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
-
E.
Sueña conmigo
Sueña conmigo is a Latin American musical telenovela aimed at teens, known for combining romance, music, and dance in a story about aspiring young performers.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd124378c819086ea2fa6ecbfffe1 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce036dec9481908564ea2828ea429b |
completed | April 2, 2026, 5:49 a.m. |
| NEDg | Description generation | batch_69ce07846da48190aa89b1c185dfcd11 |
completed | April 2, 2026, 6:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08a5d2988190a64822214b69a223 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:07 p.m.