Triple
T19432018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarão Reis |
E486138
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Aarão Reis |
—
|
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: Aarão Reis | Statement: [Aarão Reis, name, Aarão Reis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarão Reis Context triple: [Aarão Reis, name, Aarão Reis]
-
A.
Aarão Reis
chosen
Aarão Reis was a Brazilian engineer and urban planner best known for designing the original master plan of the city of Belo Horizonte.
-
B.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
-
C.
Aroldo
Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
-
D.
Azarias
Azarias is the Hebrew name traditionally associated with Abednego, one of the three youths in the biblical Book of Daniel who survived the fiery furnace.
-
E.
Ariomardos
Ariomardos is an ancient historical or mythological figure whose name appears in variant forms, including Ariomardus, in classical sources.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335b4e388190913ded15ad165b7b |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.