Triple
T2411321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy García |
E52195
|
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: [Andy García, familyName, García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: García Context triple: [Andy García, familyName, García]
-
A.
García
chosen
García is a common Spanish surname borne by numerous notable figures across the Spanish-speaking world.
-
B.
Gutiérrez
Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
-
C.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
-
D.
Guillén
Guillén is a Spanish-language surname most notably associated with Cuban poet Nicolás Guillén, a leading figure of Afro-Cuban literature.
-
E.
Garza
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc928fd608190885fcde6746a06bc |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3f00cc481909c2841a6f2ebadad |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 6, 2026, 9:41 p.m.