Triple
T15530898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalina Aruca |
E370211
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Nadine Velazquez |
—
|
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: Nadine Velazquez | Statement: [Catalina Aruca, portrayedBy, Nadine Velazquez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadine Velazquez Context triple: [Catalina Aruca, portrayedBy, Nadine Velazquez]
-
A.
Nadine Velazquez
chosen
Nadine Velazquez is an American actress and model best known for her roles in the sitcom "My Name Is Earl" and the film "Flight."
-
B.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
C.
Roselyn Sánchez
Roselyn Sánchez is a Puerto Rican actress, singer, and model known for her roles in film and television, including the comedy "The Game Plan" and the series "Devious Maids."
-
D.
Valerie Cruz
Valerie Cruz is an American actress known for her roles in television series such as Off the Map, Dexter, and True Blood.
-
E.
Lisa Benavides
Lisa Benavides is an American actress known for her work in independent films and as the wife of actor-director Tim Blake Nelson.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
Created at: April 10, 2026, 4:06 a.m.