Triple
T23401365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago Jiménez Sr. |
E559512
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jiménez |
—
|
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: Jiménez | Statement: [Santiago Jiménez Sr., familyName, Jiménez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiménez Context triple: [Santiago Jiménez Sr., familyName, Jiménez]
-
A.
Jiménez
chosen
Jiménez is a Spanish surname commonly associated with individuals of Iberian origin.
-
B.
Jiménez
Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
-
C.
Giménez
Giménez is a Spanish-language surname commonly found in Spain and Latin American countries, borne by various notable figures in sports, arts, and public life.
-
D.
Carrillo
Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
-
E.
Godínez
Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dfa4c881908df0eced4855c0d9 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.