Triple
T18173249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben-Hur (2016 film) |
E435084
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Rodrigo Santoro |
—
|
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: Rodrigo Santoro | Statement: [Ben-Hur (2016 film), stars, Rodrigo Santoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodrigo Santoro Context triple: [Ben-Hur (2016 film), stars, Rodrigo Santoro]
-
A.
Rodrigo Santoro
chosen
Rodrigo Santoro is a Brazilian actor known internationally for roles in films such as "300," "Love Actually," and "Rio," as well as the TV series "Westworld."
-
B.
Gabriel Basso
Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
-
C.
Édgar Ramírez
Édgar Ramírez is a Venezuelan actor known for his versatile performances in both Hollywood and international films, including acclaimed roles in projects like "Carlos," "Zero Dark Thirty," and "Joy."
-
D.
Chino Darín
Chino Darín is an Argentine actor known for his work in film and television, and as the son of acclaimed actor Ricardo Darín.
-
E.
Wagner Moura
Wagner Moura is a Brazilian actor and filmmaker best known internationally for his roles in the film "Elite Squad" and the Netflix series "Narcos."
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df583a8081908c07d3534091c2ae |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.