Triple
T10797260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romina Carrisi |
E254742
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Romina Carrisi |
E254742
|
NE FINISHED |
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: Romina Carrisi | Statement: [Romina Carrisi, name, Romina Carrisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romina Carrisi Context triple: [Romina Carrisi, name, Romina Carrisi]
-
A.
Romina Carrisi
chosen
Romina Carrisi is an Italian actress, writer, and television personality, best known as the daughter of singers Romina Power and Al Bano.
-
B.
Luciana Rivera
Luciana Rivera is the daughter of reggaeton singer and songwriter Nicky Jam.
-
C.
Isabel Sarli
Isabel Sarli was an iconic Argentine actress and sex symbol best known for her starring roles in erotic films of the 1950s–1970s directed by Armando Bó.
-
D.
Malena Alterio
Malena Alterio is an Argentine-Spanish actress best known for her work in Spanish television comedies and films.
-
E.
Claudia Villafañe
Claudia Villafañe is an Argentine businesswoman and television personality best known for her long-term marriage to football legend Diego Maradona and her role in managing aspects of his career and estate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73333dc4081909faa40c10bce2735 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0d849888190be46616ecc97c2b1 |
completed | April 14, 2026, 9:25 p.m. |
Created at: April 8, 2026, 9:17 p.m.