Triple
T33861192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Brazil |
E867927
|
entity |
| Predicate | roleGivenTo |
P127801
|
FINISHED |
| Object | spouse of the President of Brazil |
—
|
LITERAL 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: spouse of the President of Brazil | Statement: [First Lady of Brazil, roleGivenTo, spouse of the President of Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleGivenTo Context triple: [First Lady of Brazil, roleGivenTo, spouse of the President of Brazil]
-
A.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
-
B.
roleOn
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
-
C.
exportRole
Indicates that an entity functions in a capacity or role specifically related to exporting goods, services, or data.
-
D.
roleAfterConversion
Indicates the role or position an entity holds after undergoing a conversion, transition, or change from a previous state or role.
-
E.
providedRole
chosen
Indicates that one entity has assigned or supplied a specific role or function to another entity.
- F. None of above.
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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5a4f7881909324eb3c20ca96f1 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:47 a.m.