Triple
T22915684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolls Gracie |
E568726
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Mauro Chuleta |
—
|
NE NERFINISHED |
How this triple was built (3 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: Mauro Chuleta | Statement: [Rolls Gracie, notableStudent, Mauro Chuleta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauro Chuleta Context triple: [Rolls Gracie, notableStudent, Mauro Chuleta]
-
A.
Esteban Tossutti
Esteban Tossutti is an Argentine entrepreneur best known for co-founding Flybondi, one of Argentina’s first low-cost airlines.
-
B.
Diego Cocca
Diego Cocca is an Argentine football manager and former defender best known for leading Racing Club to the 2014 Argentine Primera División title.
-
C.
Tristán Montenegro
Tristán Montenegro is a central, long-running protagonist in the Spanish period drama series "El secreto de Puente Viejo," known for his complex romantic and family storylines.
-
D.
Darío Grandinetti
Darío Grandinetti is an Argentine actor known for his acclaimed performances in film and television, including a leading role in Pedro Almodóvar’s drama "Talk to Her."
-
E.
Alejandro Montecchia
Alejandro Montecchia is a retired Argentine point guard best known for being part of Argentina’s famed basketball “Golden Generation,” including the team that won the gold medal at the 2004 Athens Olympics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mauro Chuleta Target entity description: Mauro Chuleta is a Brazilian jiu-jitsu practitioner recognized as a notable student of legendary grappler Rolls Gracie.
-
A.
Esteban Tossutti
Esteban Tossutti is an Argentine entrepreneur best known for co-founding Flybondi, one of Argentina’s first low-cost airlines.
-
B.
Diego Cocca
Diego Cocca is an Argentine football manager and former defender best known for leading Racing Club to the 2014 Argentine Primera División title.
-
C.
Tristán Montenegro
Tristán Montenegro is a central, long-running protagonist in the Spanish period drama series "El secreto de Puente Viejo," known for his complex romantic and family storylines.
-
D.
Darío Grandinetti
Darío Grandinetti is an Argentine actor known for his acclaimed performances in film and television, including a leading role in Pedro Almodóvar’s drama "Talk to Her."
-
E.
Alejandro Montecchia
Alejandro Montecchia is a retired Argentine point guard best known for being part of Argentina’s famed basketball “Golden Generation,” including the team that won the gold medal at the 2004 Athens Olympics.
- F. None of above. chosen
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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18079217481908db98882929ac69a |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.