Triple
T13537548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devious Maids |
E323299
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Judy Reyes |
E814290
|
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: Judy Reyes | Statement: [Devious Maids, portrayedBy, Judy Reyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judy Reyes Context triple: [Devious Maids, portrayedBy, Judy Reyes]
-
A.
Judy Reyes
chosen
Judy Reyes is an American actress best known for her role as nurse Carla Espinosa on the television series "Scrubs."
-
B.
Marjorie Estiano
Marjorie Estiano is a Brazilian actress and singer acclaimed for her powerful television performances and international recognition.
-
C.
Karen Mendez
Karen Mendez is known as the wife of former CIA technical operations officer and author Tony Mendez, whose life inspired the film "Argo."
-
D.
Yvette Prieto
Yvette Prieto is a Cuban-American former model best known for being married to NBA legend Michael Jordan.
-
E.
Jeanette Núñez
Jeanette Núñez is an American politician and member of the Republican Party who has served in Florida state government, including leadership roles in the state legislature.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b300888190980173b585b27d48 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 9:45 p.m.