Triple
T14309725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Smits |
E354792
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Miguel Prado |
E350566
|
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: Miguel Prado | Statement: [Jimmy Smits, portrayed, Miguel Prado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Prado Context triple: [Jimmy Smits, portrayed, Miguel Prado]
-
A.
Miguel Prado
chosen
Miguel Prado is a prominent assistant district attorney and complex antagonist in the television series "Dexter," portrayed by actor Jimmy Smits.
-
B.
Álvaro Rodríguez
Álvaro Rodríguez is a screenwriter best known for his work on genre films, including contributions to the From Dusk Till Dawn franchise.
-
C.
Alfonso Mejía
Alfonso Mejía was a Mexican film actor best known for his role in Luis Buñuel’s classic 1950 drama "Los Olvidados."
-
D.
Víctor Rodríguez
Víctor Rodríguez is a Spanish professional footballer best known for his influential attacking midfield role with Seattle Sounders FC, including a standout performance in their 2019 MLS Cup triumph.
-
E.
Óscar Rodríguez
Óscar Rodríguez is a Paraguayan politician who serves as the mayor of Asunción, the capital city of Paraguay.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2e2444819090252684673ff3df |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.