Triple
T22243831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabricio Oberto |
E549790
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fabricio |
—
|
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: Fabricio | Statement: [Fabricio Oberto, givenName, Fabricio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabricio Context triple: [Fabricio Oberto, givenName, Fabricio]
-
A.
Fabrício
Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
-
B.
Fabricio Oberto
chosen
Fabricio Oberto is a retired Argentine professional basketball center best known for winning an NBA championship with the San Antonio Spurs and being part of Argentina’s golden generation that won Olympic gold in 2004.
-
C.
Leonardo Salgado
Leonardo Salgado is an Argentine paleontologist known for his work on large South American dinosaurs, including the description of Giganotosaurus.
-
D.
Fabio Zamarion
Fabio Zamarion is an Italian cinematographer known for his work on acclaimed contemporary Italian films.
-
E.
Marcio
Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1321655b0819091f1ddf06c67f3c2 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.