Triple
T9486191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuban Liberation Army |
E228767
|
entity |
| Predicate | hasCommander |
P1197
|
FINISHED |
| Object | José Maceo |
E261587
|
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: José Maceo | Statement: [Cuban Liberation Army, hasCommander, José Maceo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Maceo Context triple: [Cuban Liberation Army, hasCommander, José Maceo]
-
A.
Benny Moré
Benny Moré was a legendary Cuban singer, bandleader, and songwriter renowned for his powerful voice and influential contributions to genres like son, bolero, and mambo.
-
B.
Ibrahim Ferrer
Ibrahim Ferrer was a celebrated Cuban son and bolero singer best known internationally for his work with the Buena Vista Social Club.
-
C.
Maceo
chosen
Maceo is a Spanish-origin surname notably associated with Cuban independence leader Antonio Maceo.
-
D.
Maceo
Maceo is a municipality in the Magdalena Medio subregion of the Antioquia Department in Colombia, known for its rural character and role in regional agriculture and mining.
-
E.
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804fb2b4819084c7f5a842dbe5a6 |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d1326b8819084c6d9490b7a96dc |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.