Triple
T20500930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luisana Lopilato |
E503299
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luisana Lopilato |
—
|
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: Luisana Lopilato | Statement: [Luisana Lopilato, name, Luisana Lopilato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luisana Lopilato Context triple: [Luisana Lopilato, name, Luisana Lopilato]
-
A.
Luisana Lopilato
chosen
Luisana Lopilato is an Argentine actress and model known for her roles in popular telenovelas and films, as well as for her international public profile.
-
B.
Luciana Rivera
Luciana Rivera is the daughter of reggaeton singer and songwriter Nicky Jam.
-
C.
Laura Barbieri
Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
-
D.
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.
-
E.
Carla Gravina
Carla Gravina is an Italian actress and politician known for her acclaimed film and television roles from the 1950s onward and her later service as a member of the Italian Chamber of Deputies.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc1ea7081908d17c224b1670bd7 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.