Triple
T22779082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Suárez |
E563783
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sofía Balbi |
—
|
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: Sofía Balbi | Statement: [Luis Suárez, spouse, Sofía Balbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofía Balbi Context triple: [Luis Suárez, spouse, Sofía Balbi]
-
A.
Sofía Balbi
chosen
Sofía Balbi is a Uruguayan woman best known as the longtime wife of footballer Luis Suárez, often noted for her influence on his personal and professional life.
-
B.
Natalia Roberti
Natalia Roberti is best known as the wife of Italian actor and former Spaghetti Western star Giuliano Gemma.
-
C.
Marisa Borini
Marisa Borini is an Italian concert pianist and actress, best known as the mother of singer-songwriter and former French First Lady Carla Bruni.
-
D.
Lucía Maraz
Lucía Maraz is a central fictional character in Isabel Allende’s novel "In the Midst of Winter," a Chilean academic whose past and present intertwine with themes of exile, love, and political trauma.
-
E.
Lucia Zucchetti
Lucia Zucchetti is a film editor known for her work on feature films including the British comedy-drama "Mrs Henderson Presents."
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.