Triple
T20580426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doña Bárbara |
E505636
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Doña Bárbara (telenovela) |
—
|
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: Doña Bárbara (telenovela) | Statement: [Doña Bárbara, hasAdaptation, Doña Bárbara (telenovela)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doña Bárbara (telenovela) Context triple: [Doña Bárbara, hasAdaptation, Doña Bárbara (telenovela)]
-
A.
Doña Bárbara
chosen
Doña Bárbara is a classic Venezuelan novel by Rómulo Gallegos that explores the clash between civilization and barbarism on the country’s rural plains through the figure of a ruthless female landowner.
-
B.
La Reina del Sur (telenovela)
La Reina del Sur is a Spanish-language crime drama telenovela centered on the rise of Teresa Mendoza from a poor young woman to a powerful international drug trafficker.
-
C.
Angélica
Angélica is a feminine given name of Romance-language origin, commonly used in Spanish- and Portuguese-speaking countries.
-
D.
Carmencita
Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
-
E.
Las Rosas
Las Rosas is a Madrid Metro station serving the Las Rosas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90dd3e881908915debe1f1e8509 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.