Triple
T10985178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raul Roulien |
E259609
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Dolores del Río |
E224452
|
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: Dolores del Río | Statement: [Raul Roulien, workedWith, Dolores del Río]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolores del Río Context triple: [Raul Roulien, workedWith, Dolores del Río]
-
A.
Dolores del Río
chosen
Dolores del Río was a pioneering Mexican actress and international film star of the 1920s–1940s, celebrated as one of Hollywood’s first major Latina leading ladies.
-
B.
Silvia Pinal
Silvia Pinal is a renowned Mexican actress and producer, celebrated for her work in classic Mexican cinema and her collaborations with director Luis Buñuel.
-
C.
Margarita Carmen Cansino
Margarita Carmen Cansino, better known as Rita Hayworth, was a celebrated American film actress and dancer who became one of Hollywood’s most iconic screen goddesses of the 1940s.
-
D.
Isabelle Ferrer
Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
-
E.
Josefa Ferrer
Josefa Ferrer is an actress known for playing the character Maria.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772ed1eb88190b7333b746f76a088 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344d860b08190a035570191c54d7c |
completed | April 18, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:24 p.m.