Triple
T13240319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Behavior |
E315262
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Juan Diego Botto |
E1065046
|
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: Juan Diego Botto | Statement: [Good Behavior, starring, Juan Diego Botto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Diego Botto Context triple: [Good Behavior, starring, Juan Diego Botto]
-
A.
Juan Diego Botto
chosen
Juan Diego Botto is an Argentine-Spanish actor known for his work in film, television, and theater, including prominent roles in international TV dramas.
-
B.
Diego Fagúndez
Diego Fagúndez is a Uruguayan-American professional soccer midfielder known for his long tenure in Major League Soccer, particularly with the New England Revolution and later Austin FC.
-
C.
Diego Funes
Diego Funes is known as the son of Mauricio Funes, the former president of El Salvador.
-
D.
Gonzalo Vivanco
Gonzalo Vivanco is a Chilean actor known for his roles in Latin American television series and telenovelas.
-
E.
Carlos Bobadilla
Carlos Bobadilla is a notable individual distinguished enough to be specifically cited as a bearer of the Bobadilla surname.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f5c0d88190b51cd65f6b7f8e6d |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:23 p.m.