Triple
T38029568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raoul Cédras |
E948869
|
entity |
| Predicate | oustedIn |
P22775
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Raoul Cédras, oustedIn, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oustedIn Context triple: [Raoul Cédras, oustedIn, 1994]
-
A.
overthrownIn
chosen
Indicates that one entity (such as a government, leader, or regime) was removed from power or defeated in a specific event, context, or time period represented by the other entity.
-
B.
overthrown
Indicates that one entity has removed another from a position of power or authority, typically by force or political upheaval.
-
C.
deposedFrom
Indicates that an entity has been removed from a position of power, authority, or office, typically by force or formal action.
-
D.
overthrownByTitle
Indicates that a person holding a particular title was removed from power or deposed by another person identified by their title.
-
E.
wasToppledBy
Indicates that one entity caused or carried out the overthrow, collapse, or removal from power of 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc99890888190ad8a2f3b8c7adf34 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.