Triple
T10722574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Jurado |
E252858
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katy Jurado |
E252858
|
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: Katy Jurado | Statement: [Katy Jurado, name, Katy Jurado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katy Jurado Context triple: [Katy Jurado, name, Katy Jurado]
-
A.
Katy Jurado
chosen
Katy Jurado was a pioneering Mexican actress who achieved international fame in Hollywood Westerns and became the first Latin American woman to win a Golden Globe.
-
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.
Dolores Chanal
Dolores Chanal is a pivotal, psychologically significant figure in the film "Shutter Island," central to the protagonist’s emotional and mental unraveling.
-
D.
Maria Conchita Alonso
Maria Conchita Alonso is a Cuban-Venezuelan actress and singer known for her work in both Latin American and Hollywood films and television.
-
E.
Ana García
Ana García is a common Spanish personal name shared by multiple notable individuals across fields such as journalism, politics, and the arts.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb738f8488190837a675b82ce75aa |
completed | April 12, 2026, 3:16 p.m. |
Created at: April 8, 2026, 9:13 p.m.