Triple
T20492978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuando seas mía |
E502793
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Fabiana Perzábal |
—
|
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: Fabiana Perzábal | Statement: [Cuando seas mía, castMember, Fabiana Perzábal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabiana Perzábal Context triple: [Cuando seas mía, castMember, Fabiana Perzábal]
-
A.
Fabiana Perzabal
chosen
Fabiana Perzabal is an actress best known for her role in the Mexican telenovela "Cuando seas mía."
-
B.
Fabiana Udenio
Fabiana Udenio is an Italian-Argentinian actress best known for her comedic and character roles in film and television, including a memorable turn in the Austin Powers franchise.
-
C.
Paz Ferreira
Paz Ferreira is the wife of retired Uruguayan football star Diego Forlán.
-
D.
Luciana Pedraza
Luciana Pedraza is an Argentine actress and director known for her work in independent cinema and her long-term partnership with actor Robert Duvall.
-
E.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbb3bd081909351525208b41bba |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.