Triple
T12213285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Calvillo |
E291018
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Calvillo |
E328848
|
NE FINISHED |
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: Calvillo | Statement: [Anthony Calvillo, familyName, Calvillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvillo Context triple: [Anthony Calvillo, familyName, Calvillo]
-
A.
Calvillo
chosen
Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
-
B.
Gallegos
Gallegos is a Spanish-language surname most notably associated with Venezuelan novelist and former president Rómulo Gallegos.
-
C.
De Leon
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
D.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
E.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically used as an affectionate nickname.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa13f64819096dc23295a6f0cdb |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.