Triple
T20496117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begoña Palacios |
E502877
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Begoña Palacios |
—
|
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: Begoña Palacios | Statement: [Begoña Palacios, name, Begoña Palacios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begoña Palacios Context triple: [Begoña Palacios, name, Begoña Palacios]
-
A.
Begoña Palacios
chosen
Begoña Palacios was a Mexican actress known for her roles in 1960s and 1970s cinema and for her marriage to American film director Sam Peckinpah.
-
B.
Pilar García
Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
-
C.
Begoña Gómez Fernández
Begoña Gómez Fernández is a Spanish businesswoman and academic known primarily as the wife of Spain’s Prime Minister, Pedro Sánchez.
-
D.
Inma Cuesta
Inma Cuesta is a Spanish actress known for her work in film, television, and theater, often acclaimed for her dramatic roles in contemporary Spanish cinema.
-
E.
Pilar Belzunce
Pilar Belzunce was the wife of renowned Spanish Basque sculptor Eduardo Chillida and a central figure in his personal life and support system.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbdeb9c819090a30a7961146c93 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.