Triple
T7463006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michaëlle Jean |
E176296
|
entity |
| Predicate | startTimeAsGovernorGeneralOfCanada |
P38441
|
FINISHED |
| Object | 2005-09-27 |
—
|
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: 2005-09-27 | Statement: [Michaëlle Jean, startTimeAsGovernorGeneralOfCanada, 2005-09-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsGovernorGeneralOfCanada Context triple: [Michaëlle Jean, startTimeAsGovernorGeneralOfCanada, 2005-09-27]
-
A.
termStartAsGovernorGeneralOfCanada
chosen
Indicates the date or event marking when an individual begins their term serving as Governor General of Canada.
-
B.
termEndAsGovernorGeneralOfCanada
Indicates that an individual’s tenure in the role of Governor General of Canada has concluded on a specified date or event.
-
C.
termStartAsGovernorGeneralOfIndia
Indicates the date or point in time when an individual began their tenure as Governor-General of India.
-
D.
termStartAsViceroyOfIndia
Indicates the date or point in time when an individual began serving in the role of Viceroy of India.
-
E.
designatedAsFirstGovernorGeneralOfIndia
Indicates that one entity was formally designated or recognized as the first Governor-General of India in relation to the other 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_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. |
Created at: March 27, 2026, 3:39 p.m.