Triple
T7463019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaëlle Jean |
E176296
|
entity |
| Predicate | immigrationReason |
P77259
|
FINISHED |
| Object | political exile from Haiti |
—
|
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: political exile from Haiti | Statement: [Michaëlle Jean, immigrationReason, political exile from Haiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrationReason Context triple: [Michaëlle Jean, immigrationReason, political exile from Haiti]
-
A.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
B.
immigrationBackground
Indicates that an entity has a personal or familial history of migration from another country or region.
-
C.
countryOfOriginForImmigration
Indicates the country from which a person or group has emigrated when moving to another country.
-
D.
citizenshipChangeReason
Indicates the reason or cause for a change in an entity’s citizenship status.
-
E.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f386daac81908ded91b397b44148 |
completed | March 27, 2026, 9:15 p.m. |
Created at: March 27, 2026, 3:39 p.m.