Triple
T20585137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esteban |
E505765
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Estéban |
—
|
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: Estéban | Statement: [Esteban, hasVariant, Estéban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estéban Context triple: [Esteban, hasVariant, Estéban]
-
A.
Esteban
chosen
Esteban is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
-
B.
Rogelio
Rogelio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Cristóbal Mendoza
Cristóbal Mendoza was a Venezuelan lawyer and statesman who became the first head of state of independent Venezuela during the early 19th-century independence movement.
-
D.
Ceballos
Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
-
E.
Diego Cortez
Diego Cortez was an influential American art curator and cultural figure closely associated with New York’s downtown avant-garde scene of the late 1970s and early 1980s.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a975f098819083700593a9fa6cd0 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.