Triple
T10765153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia Vergara |
E253934
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vergara |
E798950
|
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: Vergara | Statement: [Sofia Vergara, familyName, Vergara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vergara Context triple: [Sofia Vergara, familyName, Vergara]
-
A.
Vergara
Vergara is a small Colombian town and municipality located in the Gualivá Province of the Cundinamarca Department.
-
B.
Vergara
chosen
Vergara is a town in the Basque Country of northern Spain, historically notable as the birthplace of the conquistador Domingo Martínez de Irala.
-
C.
Sandoval
Sandoval is a Spanish-language surname of Iberian origin borne by numerous notable figures in sports, politics, and the arts.
-
D.
Cavazos
Cavazos is the surname of American singer-songwriter Julia Michaels, whose full birth name is Julia Carin Cavazos.
-
E.
San Benito
San Benito is a small coastal town on Siargao Island in the Philippines, known for its laid-back atmosphere, fishing communities, and access to surfing and island-hopping spots.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a5d5248190badfc5a8ab0215d6 |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de235fe7748190ba004f889da389ff |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.