Triple
T19400395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abuela Claudia |
E485305
|
entity |
| Predicate | filmPortrayedBy |
P15620
|
FINISHED |
| Object | Olga Merediz |
—
|
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: Olga Merediz | Statement: [Abuela Claudia, filmPortrayedBy, Olga Merediz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Merediz Context triple: [Abuela Claudia, filmPortrayedBy, Olga Merediz]
-
A.
Olga Merediz
chosen
Olga Merediz is a Tony-nominated American actress and singer best known for originating the role of Abuela Claudia in the Broadway musical "In the Heights" and reprising it in the film adaptation.
-
B.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
C.
Rosaura De la Garza
Rosaura De la Garza is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as the dutiful yet conflicted daughter who embodies traditional expectations and rivalry within the De la Garza family.
-
D.
Maria Gonzales
Maria Gonzales is a fictional character featured in the narrative of Code 46.
-
E.
Esperanza Villalobos
Esperanza Villalobos is a central character in the sitcom "The Knights of Prosperity," known for being part of a quirky group plotting to rob a celebrity.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257692508190b658928e224d72d7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.