Triple
T17189275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Bello |
E417185
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bello |
E1108304
|
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: Bello | Statement: [Frank Bello, familyName, Bello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bello Context triple: [Frank Bello, familyName, Bello]
-
A.
Bello
chosen
Bello is a common surname of Hausa and broader West African origin, notably borne by several prominent Nigerian leaders and public figures.
-
B.
Bello
Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
-
C.
Briosa
Briosa is the popular nickname of Associação Académica de Coimbra’s football team, a historic Portuguese club closely linked to the University of Coimbra and its student culture.
-
D.
Bonomi
Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
-
E.
Belli
The Belli were a prominent ancient Celtiberian tribe inhabiting the central-eastern Iberian Peninsula, known for their role in conflicts with Rome during the 2nd century BCE.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d986b60819085c515101cfe65fe |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd0e1448190a9c0eadc7a8a2f6a |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.