Triple
T19283791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Bernárdez |
E482255
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aurora Bernárdez |
—
|
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: Aurora Bernárdez | Statement: [Aurora Bernárdez, name, Aurora Bernárdez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurora Bernárdez Context triple: [Aurora Bernárdez, name, Aurora Bernárdez]
-
A.
Aurora Bernárdez
chosen
Aurora Bernárdez was an Argentine literary translator and critic best known for her long partnership and collaboration with writer Julio Cortázar.
-
B.
Mayan Lopez
Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
-
C.
Natalie Morales
Natalie Morales is an American actress and filmmaker known for her roles in television series like "Parks and Recreation" and "The Middleman," as well as her work as a voice and film director.
-
D.
Natalie Morales
Natalie Morales is an American broadcast journalist and television anchor best known for her work on NBC News programs including the Today show and Dateline NBC.
-
E.
Zabryna Guevara
Zabryna Guevara is an American actress known for her roles in television series such as "Gotham" and "Emergence," as well as her work in film and theater.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0099148190bfec8e8eadc72406 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.