Triple
T7522254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossano Rubicondi |
E177799
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Miluska Rosales |
E177799
|
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: Miluska Rosales | Statement: [Rossano Rubicondi, spouse, Miluska Rosales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miluska Rosales Context triple: [Rossano Rubicondi, spouse, Miluska Rosales]
-
A.
Miluska Rosales
chosen
Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
-
B.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
C.
Camile Velasco
Camile Velasco is a Filipino-American singer who gained national recognition as a finalist on the third season of the television talent show American Idol.
-
D.
Miriam Nicado García
Miriam Nicado García is a Cuban mathematician and academic who became the first woman to serve as rector of the University of Havana.
-
E.
Isela Vega
Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c3c4c08190ad418978afcc98ec |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91f49faec8190b4920097d52896f3 |
completed | March 29, 2026, 12:47 p.m. |
Created at: March 27, 2026, 3:46 p.m.