Triple
T7906030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eiza González |
E183576
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E700694
|
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: Sueña conmigo | Statement: [Eiza González, notableWork, Sueña conmigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sueña conmigo Context triple: [Eiza González, notableWork, Sueña conmigo]
-
A.
Solo mía
"Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
-
B.
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.
-
C.
Yoeme
Yoeme is the self-designation used by the Yaqui people, an Indigenous group primarily from the Sonoran Desert region of Mexico and the southwestern United States.
-
D.
Contigo
Contigo is a popular consumer brand known for its durable, spill-proof travel mugs, water bottles, and hydration products.
-
E.
Te Amo
"Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
- 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: Sueña conmigo Triple: [Eiza González, notableWork, Sueña conmigo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sueña conmigo Target entity description: 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.
-
A.
Solo mía
"Solo mía" is a Spanish drama film known for its intense portrayal of domestic abuse and psychological violence within a marriage.
-
B.
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.
-
C.
Yoeme
Yoeme is the self-designation used by the Yaqui people, an Indigenous group primarily from the Sonoran Desert region of Mexico and the southwestern United States.
-
D.
Contigo
Contigo is a popular consumer brand known for its durable, spill-proof travel mugs, water bottles, and hydration products.
-
E.
Te Amo
"Te Amo" is a romantic song featured on the soundtrack of the film "Rated R."
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc9dfa88190aa5261bdf44823ab |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:03 p.m.