Triple
T22614564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Gazmey |
E566806
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | José Gazmey |
—
|
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: José Gazmey | Statement: [José Gazmey, name, José Gazmey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Gazmey Context triple: [José Gazmey, name, José Gazmey]
-
A.
José Gazmey
chosen
José Gazmey is a Puerto Rican musician and music executive best known as the father of Latin trap artist Anuel AA.
-
B.
José Fernando
José Fernando is the given name of José Fernando de Abascal, a Spanish military officer and colonial administrator who served as Viceroy of Peru in the early 19th century.
-
C.
José Bastón
José Bastón is a Mexican media executive best known as the president of Televisa and the husband of actress Eva Longoria.
-
D.
José Balta
José Balta was a 19th-century Peruvian military officer and politician who served as President of Peru and played a key role in the country’s guano-driven economic boom.
-
E.
José Solchaga
José Solchaga was a Spanish Nationalist military officer who played a significant command role during the Spanish Civil War.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167ecc7188190bf41fe2177d48e6c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:58 p.m.