Triple
T8537960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sale el Sol |
E202124
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lester Mendez |
E742627
|
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: Lester Mendez | Statement: [Sale el Sol, producer, Lester Mendez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Mendez Context triple: [Sale el Sol, producer, Lester Mendez]
-
A.
Lester Méndez
chosen
Lester Méndez is a Grammy-winning Cuban-American record producer and songwriter known for his influential work in Latin pop and collaborations with major artists like Shakira.
-
B.
Avelino Arredondo
Avelino Arredondo is a short story by Jorge Luis Borges that fictionalizes the life of the historical Uruguayan assassin who killed President Juan Idiarte Borda.
-
C.
George A. Mendoza
George A. Mendoza is a film producer best known for his work on Disney’s animated feature "The Lion King 1½."
-
D.
Frank J. Urioste
Frank J. Urioste is an American film editor known for his work on major action and genre films, including blockbusters like Die Hard, RoboCop, and Total Recall.
-
E.
Moises Arias
Moises Arias is an American actor best known for his roles in "Hannah Montana," "The Kings of Summer," and various independent films.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6ea4fadc8190ade74e4fdf890056 |
completed | April 3, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:18 p.m.