Triple
T20881110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peláez |
E514149
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Pelaez |
—
|
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: Pelaez | Statement: [Peláez, hasVariant, Pelaez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelaez Context triple: [Peláez, hasVariant, Pelaez]
-
A.
Peláez
chosen
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
B.
Arbeláez
Arbeláez is a municipality in the Cundinamarca Department of Colombia, known for its mountainous landscapes and agricultural activities.
-
C.
Ceballos
Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
-
D.
Hernán-Pérez
Hernán-Pérez is a small rural municipality in the Sierra de Gata region of Cáceres, Extremadura, Spain.
-
E.
De la Peña
De la Peña is a Spanish surname typically indicating origin from a rocky or cliff-like geographical feature.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.