Triple
T23306539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Valverde |
E590456
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Tengo ganas de ti |
—
|
NE NERFINISHED |
How this triple was built (2 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: Tengo ganas de ti | Statement: [María Valverde, actedIn, Tengo ganas de ti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tengo ganas de ti Context triple: [María Valverde, actedIn, Tengo ganas de ti]
-
A.
Ho voglia di te
chosen
Ho voglia di te is an Italian romantic drama film based on Federico Moccia's bestselling novel, following the turbulent love life of a young man torn between past and new relationships.
-
B.
Quiero
"Quiero" is a Spanish-language pop song by Colombian singer Shakira from her early album "Pies Descalzos."
-
C.
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.
-
D.
El día que me quieras
El día que me quieras is a famous 1935 Argentine romantic tango film and song, closely associated with legendary singer Carlos Gardel and considered a classic of Latin American cinema and music.
-
E.
Want You
"Want You" is a song featured on Mariah Carey's 2001 soundtrack album *Glitter*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.