Triple
T21254725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Leon |
E523837
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | de León |
—
|
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: de León | Statement: [De Leon, hasVariant, de León]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de León Context triple: [De Leon, hasVariant, de León]
-
A.
de León
chosen
De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
-
B.
León de la Barra
León de la Barra is the surname of Francisco León de la Barra, a Mexican lawyer, diplomat, and interim president of Mexico in 1911.
-
C.
de Luna
De Luna is the noble Aragonese family name of Pope Benedict XIII, reflecting his origins in the medieval Spanish aristocracy.
-
D.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
E.
La Cabrera
La Cabrera is a locality in Spain’s Province of León, known for its rural character and setting within the mountainous landscapes of northwestern Castile and León.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0e7dc8190b591b5b6786ce619 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.