Triple
T23026140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aníbal González |
E573318
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | González |
—
|
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: González | Statement: [Aníbal González, familyName, González]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: González Context triple: [Aníbal González, familyName, González]
-
A.
González
chosen
González is a common Spanish-language surname widely borne across Spain and Latin America, often associated with Iberian heritage.
-
B.
Garciaz
Garciaz is a small municipality in the province of Cáceres, in the Extremadura region of western Spain.
-
C.
Gutiérrez
Gutiérrez is a common Spanish-language surname borne by numerous individuals across the Spanish-speaking world.
-
D.
Gonsalez
Gonsalez is one of the central vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
-
E.
Vázquez
Vázquez is a Spanish-language surname commonly found in Spain and Latin America, borne by various notable figures in entertainment, sports, and public life.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847d7cb48190902169813c46a278 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.