Triple
T33861205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Brazil |
E867927
|
entity |
| Predicate | isAppointed |
P177484
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [First Lady of Brazil, isAppointed, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAppointed Context triple: [First Lady of Brazil, isAppointed, false]
-
A.
wasAppointed
Indicates that an entity has been officially assigned or designated to a position, role, or office by an authority or decision-making body.
-
B.
appointedIn
Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
-
C.
appointedWith
Indicates that one entity has been formally assigned or designated to a role, position, or responsibility in relation to another entity.
-
D.
appointedAs
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
-
E.
isPoliticallyAppointed
Indicates that an individual holds a position or role obtained through a political appointment rather than through election, merit-based selection, or other non-political processes.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f6fcc44af48190b95fb9e12480a85f |
completed | May 3, 2026, 7:44 a.m. |
Created at: May 1, 2026, 1:47 a.m.