Triple
T8841103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vibras |
E210391
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Dónde Estarás
"Dónde Estarás" is a song by Colombian reggaeton singer J Balvin from his album "Vibras."
|
E761138
|
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: Dónde Estarás | Statement: [Vibras, hasPart, Dónde Estarás]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dónde Estarás Context triple: [Vibras, hasPart, Dónde Estarás]
-
A.
Where You Are
"Where You Are" is a musical number from the stage adaptation of *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
-
B.
Whenever, Wherever
"Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
-
C.
Cómo Dónde y Cuándo
"Cómo Dónde y Cuándo" is a Spanish-language pop song by Shakira featured on her album "Las Mujeres Ya No Lloran."
-
D.
To Where You Are
"To Where You Are" is a poignant ballad best known as a Josh Groban hit, co-written by Linda Thompson and Richard Marx, that reflects on loss and spiritual connection.
-
E.
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.
- 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: Dónde Estarás Triple: [Vibras, hasPart, Dónde Estarás]
Generated description
"Dónde Estarás" is a song by Colombian reggaeton singer J Balvin from his album "Vibras."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dónde Estarás Target entity description: "Dónde Estarás" is a song by Colombian reggaeton singer J Balvin from his album "Vibras."
-
A.
Where You Are
"Where You Are" is a musical number from the stage adaptation of *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
-
B.
Whenever, Wherever
"Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
-
C.
Cómo Dónde y Cuándo
"Cómo Dónde y Cuándo" is a Spanish-language pop song by Shakira featured on her album "Las Mujeres Ya No Lloran."
-
D.
To Where You Are
"To Where You Are" is a poignant ballad best known as a Josh Groban hit, co-written by Linda Thompson and Richard Marx, that reflects on loss and spiritual connection.
-
E.
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.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf899c5b288190b854acebc9fe33d1 |
completed | April 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69cf8ab7da348190b423f0768fe9dc1a |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bd252a4819098891bbb67baf897 |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:48 p.m.