Triple
T22157110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Páez |
E547566
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Paez |
—
|
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: Paez | Statement: [Páez, hasVariant, Paez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paez Context triple: [Páez, hasVariant, Paez]
-
A.
Páez
chosen
Páez is a Spanish-language surname most notably associated with Venezuelan independence leader and former president José Antonio Páez.
-
B.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
C.
Mejía
Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
-
D.
Rojas
Rojas is a Spanish surname historically associated with prominent noble families and political figures in Spain.
-
E.
Mazariegos
Mazariegos is a Spanish-origin surname borne by various notable individuals, including figures in Latin American history and culture.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12a2aadb48190b4d739d1df9529db |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:33 p.m.