Triple
T12338650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Ramos |
E294160
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yolanda Ramos |
E294160
|
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: Yolanda Ramos | Statement: [Yolanda Ramos, name, Yolanda Ramos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yolanda Ramos Context triple: [Yolanda Ramos, name, Yolanda Ramos]
-
A.
Yolanda Ramos
chosen
Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
-
B.
Yolanda López
Yolanda López was a Chicana artist, activist, and educator best known for her influential feminist reinterpretations of the Virgin of Guadalupe and her contributions to Chicano art and social justice movements.
-
C.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
D.
Yolanda Pulecio
Yolanda Pulecio is a Colombian politician and former beauty queen best known as the mother of ex-presidential candidate and long-time FARC hostage Ingrid Betancourt.
-
E.
Elena Flores
Elena Flores is a Spanish politician who succeeded Marta Fernández Miranda in public office.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f678698819091462b44ff3435f6 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:53 p.m.