Triple
T17730791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Peralta |
E442579
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Karen Peralta |
—
|
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: Karen Peralta | Statement: [Roger Peralta, spouse, Karen Peralta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Peralta Context triple: [Roger Peralta, spouse, Karen Peralta]
-
A.
Karen Peralta
chosen
Karen Peralta is a character in the television series "Brooklyn Nine-Nine," known as the mother of main protagonist Jake Peralta.
-
B.
Lorna Cepeda
Lorna Cepeda is a Colombian actress best known for her comedic role as Patricia Fernández in the popular telenovela "Yo soy Betty, la fea."
-
C.
Patricia Alvaran
Patricia Alvaran is known as the former wife of American actor Tom Berenger.
-
D.
Lorraine Vélez
Lorraine Vélez is an American actress and singer known for her work in musical theatre and television, including roles in productions like "Rent" and various stage and screen performances.
-
E.
Nancy Colmenares
Nancy Colmenares is best known as the first wife of former Venezuelan president Hugo Chávez, with whom she had three children.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e69f288190900027641952f198 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.