Triple
T9934218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Wilmès |
E192717
|
entity |
| Predicate | ledGovernmentDuring |
P16251
|
FINISHED |
| Object | COVID-19 pandemic |
—
|
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: COVID-19 pandemic | Statement: [Sophie Wilmès, ledGovernmentDuring, COVID-19 pandemic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledGovernmentDuring Context triple: [Sophie Wilmès, ledGovernmentDuring, COVID-19 pandemic]
-
A.
ledGovernment
chosen
Indicates that one entity served as the head or primary leader of the government of another entity.
-
B.
governmentDuringTerm
Indicates that a particular government is the one in power during a specified officeholder’s term.
-
C.
governmentAtTime
Indicates that a specified government is in power or holds authority over a given entity during a particular time or time interval.
-
D.
governmentInPower
Indicates that a particular government currently holds official authority and is exercising ruling power over a state or region.
-
E.
inGovernment
Indicates that an entity holds a position or role within a governmental body or institution.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b89c808190a2e766025dd53bd5 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.