Triple
T5218190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvia Navarro |
E117804
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Silvia Angélica Navarro Barba |
E117804
|
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: Silvia Angélica Navarro Barba | Statement: [Silvia Navarro, birthName, Silvia Angélica Navarro Barba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvia Angélica Navarro Barba Context triple: [Silvia Navarro, birthName, Silvia Angélica Navarro Barba]
-
A.
Alejandra Silva
Alejandra Silva is a Spanish publicist, activist, and philanthropist known for her humanitarian work and marriage to actor Richard Gere.
-
B.
Silvia Lemus
Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
-
C.
Silvia Navarro
chosen
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
D.
Elisa Godínez Gómez
Elisa Godínez Gómez was the first wife of Cuban leader Fulgencio Batista and served as First Lady of Cuba during his early presidency.
-
E.
Paola Núñez
Paola Núñez is a Mexican actress and producer known for her work in telenovelas and English-language television and film, including prominent roles in series like The Purge and the film Bad Boys for Life.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a96d49c8190a58726a57edebdcc |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10c62888819082afe8d6ec6275a2 |
completed | March 21, 2026, 9:42 p.m. |
Created at: March 20, 2026, 1:48 p.m.