Triple
T19193028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Sampaio |
E469890
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Maria José Ritta |
—
|
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: Maria José Ritta | Statement: [Jorge Sampaio, spouse, Maria José Ritta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria José Ritta Context triple: [Jorge Sampaio, spouse, Maria José Ritta]
-
A.
Maria José Ritta
chosen
Maria José Ritta is a Portuguese public figure best known as the former First Lady of Portugal during the presidency of her husband, Jorge Sampaio.
-
B.
Maria Luisa Santella
Maria Luisa Santella is an Italian actress known for her work in film, television, and theater.
-
C.
Mirta Busnelli
Mirta Busnelli is an Argentine actress known for her extensive work in film, television, and theater.
-
D.
María Fiorentino
María Fiorentino is an Argentine actress known for her work in television, including a role in the popular telenovela "Resistiré."
-
E.
Luisa Fernanda Rudi
Luisa Fernanda Rudi is a Spanish politician from the People's Party who has served in prominent roles including President of Aragon and President of the Congress 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a3434881908acc4063a9ee9386 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.