Triple
T1218438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miriam Nicado García |
E26161
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | García |
E135778
|
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: García | Statement: [Miriam Nicado García, familyName, García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: García Context triple: [Miriam Nicado García, familyName, García]
-
A.
García
chosen
García is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
-
B.
Guillén
Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
-
C.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
-
D.
Martínez
Martínez is a common Spanish-language surname widely borne across Spain and Latin America.
-
E.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be08157c8190b248bb75b922644f |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8322425c81909cc206b122416c43 |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:46 p.m.