Triple
T23055569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Café Filho |
E574145
|
entity |
| Predicate | wasImpeachedOrRemoved |
P20775
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Café Filho, wasImpeachedOrRemoved, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasImpeachedOrRemoved Context triple: [Café Filho, wasImpeachedOrRemoved, yes]
-
A.
impeachedIn
Indicates that a person has been formally charged with misconduct through an impeachment process in a specified jurisdiction or legislative body.
-
B.
impeached
Indicates that a formal charge of misconduct has been brought against a public official through an official legislative or judicial process.
-
C.
impeachmentOutcome
chosen
Indicates the result or final status of an impeachment process against a specific officeholder.
-
D.
positionHeldByImpeached
Indicates that a particular position or office is (or was) occupied by an individual who has been impeached.
-
E.
impeachmentTarget
Indicates that an entity is the person or official against whom impeachment proceedings are directed.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867f71508190ad4513c6de2453e6 |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:54 p.m.