Triple
T22311757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Aleandro |
E551532
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Norma Aleandro |
—
|
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: Norma Aleandro | Statement: [Norma Aleandro, name, Norma Aleandro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norma Aleandro Context triple: [Norma Aleandro, name, Norma Aleandro]
-
A.
Norma Aleandro
chosen
Norma Aleandro is an acclaimed Argentine actress, screenwriter, and director, widely regarded as one of Latin America's most important film and theater performers.
-
B.
Adriana Paz
Adriana Paz is a Mexican actress known for her acclaimed performances in contemporary Latin American cinema and television.
-
C.
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.
-
D.
Josefa Ferrer
Josefa Ferrer is an actress known for playing the character Maria.
-
E.
Carmen Bravo
Carmen Bravo was a Spanish pianist best known for her interpretations of 20th-century repertoire and her close association with the music of her husband, composer Federico Mompou.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574f97cc81909685aeef15d02af9 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.