Triple
T18135670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Armendáriz |
E434128
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | María Félix |
—
|
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: María Félix | Statement: [Pedro Armendáriz, workedWith, María Félix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Félix Context triple: [Pedro Armendáriz, workedWith, María Félix]
-
A.
María Félix
chosen
María Félix was an iconic Mexican film actress and enduring symbol of the Golden Age of Mexican cinema, renowned for her commanding screen presence and strong, independent characters.
-
B.
Dolores del Río
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.
-
C.
Norma Aleandro
Norma Aleandro is an acclaimed Argentine actress, screenwriter, and director, widely regarded as one of Latin America's most important film and theater performers.
-
D.
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.
-
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 (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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0677088190aaf584882b3d74a1 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.