Triple
T17390005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesar Rosas |
E422793
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cesar Rosas |
—
|
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: Cesar Rosas | Statement: [Cesar Rosas, name, Cesar Rosas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cesar Rosas Context triple: [Cesar Rosas, name, Cesar Rosas]
-
A.
Cesar Rosas
chosen
Cesar Rosas is a Mexican-American musician best known as a vocalist and guitarist for the Grammy-winning rock band Los Lobos.
-
B.
Victor Rojas
Victor Rojas is an actor known for appearing in the romantic comedy-drama film "It Could Happen to You."
-
C.
César Mendoza
César Mendoza was a Chilean Carabineros general who became a prominent member of the military junta that ruled Chile following the 1973 coup d'état.
-
D.
Cesar Castillo
Cesar Castillo is a charismatic Cuban musician and one of the central brothers in Oscar Hijuelos’s novel *The Mambo Kings Play Songs of Love*, which inspired the film *The Mambo Kings*.
-
E.
Juan Carlos Medina
Juan Carlos Medina is a film director best known for his work on the Gothic horror thriller "The Limehouse Golem."
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ab950d4819098d6a46f67c46191 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.