Triple
T6027485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba Flores |
E134215
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Rosario Flores |
E556646
|
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: Rosario Flores | Statement: [Alba Flores, relative, Rosario Flores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosario Flores Context triple: [Alba Flores, relative, Rosario Flores]
-
A.
Rosario Flores
chosen
Rosario Flores is a Spanish singer and actress known for her work in film and music, often associated with Pedro Almodóvar’s cinema and flamenco-influenced pop.
-
B.
Lola Flores
Lola Flores was a celebrated Spanish flamenco singer, dancer, and actress, iconic in 20th-century Spanish popular culture.
-
C.
Consuelo Gómez
Consuelo Gómez is an actress best known for her role in Robert Rodriguez’s influential low-budget action film "El Mariachi."
-
D.
Felicia Montealegre
Felicia Montealegre was a Chilean-Costa Rican actress and social activist best known as the wife of American composer and conductor Leonard Bernstein.
-
E.
Carmen Molina
Carmen Molina was a Mexican actress and singer known for her musical performances in mid-20th-century films, including a notable appearance in Disney productions.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560e3c2c8190aea2619386fc5538 |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537678fc8190aa0f2f198c1d8385 |
completed | March 27, 2026, 9:52 a.m. |
Created at: March 22, 2026, 4:07 p.m.