Triple
T4583741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermina Daza |
E101915
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Angie Cepeda |
E353703
|
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: Angie Cepeda | Statement: [Fermina Daza, portrayedBy, Angie Cepeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angie Cepeda Context triple: [Fermina Daza, portrayedBy, Angie Cepeda]
-
A.
Angie Cepeda
chosen
Angie Cepeda is a Colombian actress known internationally for her film, television, and voice work, including roles in Latin American cinema and animated features.
-
B.
Celina Carvajal
Celina Carvajal, also known professionally as Lena Hall, is a Tony Award–winning American actress and singer best known for her work in Broadway musicals and rock-inspired performances.
-
C.
Sofia Arreguin
Sofia Arreguin is a member of the creative collective or group known as Wand.
-
D.
Daniella Pineda
Daniella Pineda is an American actress known for her roles in film and television, including major parts in genre projects like Jurassic World: Fallen Kingdom and the live-action Cowboy Bebop series.
-
E.
Mayte Garcia
Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590411dc81909c55d1c42a4d44ef |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde098a5a08190873cb0aaa04890a1 |
completed | March 21, 2026, 12:04 a.m. |
Created at: March 20, 2026, 1:10 p.m.