Triple
T21484431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luka Garza |
E530080
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Garza |
—
|
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: Garza | Statement: [Luka Garza, familyName, Garza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garza Context triple: [Luka Garza, familyName, Garza]
-
A.
Garza
chosen
Garza is a Spanish-language surname of Basque origin that is common in Mexico and among people of Hispanic heritage.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
Carbajal
Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
-
D.
Beltrán
Beltrán is a Spanish masculine given name of medieval origin, historically associated with nobility and knightly figures.
-
E.
Aguilar
Aguilar is a noble family name of Spanish origin historically associated with various aristocratic lineages and houses on the Iberian Peninsula.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea365a8481909635f614b23e751f |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.