Triple
T22759231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affonso Eduardo Reidy |
E562937
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Reidy |
—
|
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: Reidy | Statement: [Affonso Eduardo Reidy, familyName, Reidy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reidy Context triple: [Affonso Eduardo Reidy, familyName, Reidy]
-
A.
Reidy
chosen
Reidy is the surname of Affonso Eduardo Reidy, a prominent Brazilian modernist architect known for influential public housing and cultural projects in Rio de Janeiro.
-
B.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
C.
Robey
Robey is a former name of the Chicago Transit Authority’s Damen station, historically used for the stop on the city’s rapid transit system.
-
D.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
E.
Bradeley
Bradeley is a residential area within the city of Stoke-on-Trent in Staffordshire, England.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7b4fe88190b1da25b78f046d13 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.