Triple
T22163444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locked Up |
E547728
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Adriana Paz |
—
|
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: Adriana Paz | Statement: [Locked Up, hasCastMember, Adriana Paz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adriana Paz Context triple: [Locked Up, hasCastMember, Adriana Paz]
-
A.
Adriana Paz
chosen
Adriana Paz is a Mexican actress known for her acclaimed performances in contemporary Latin American cinema and television.
-
B.
Paola Dominguín
Paola Dominguín is a Spanish actress, model, and fashion designer from a prominent artistic family, known for her work in film and fashion as well as her high-profile lineage.
-
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.
Graciela Amador
Graciela Amador was the first wife of Mexican muralist David Alfaro Siqueiros and a figure associated with Mexico’s early 20th-century artistic and political circles.
-
E.
Ana Cabrera
Ana Cabrera is an American journalist and television news anchor best known for her work with CNN.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2f2f90819080b5bb73a6052c24 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.