Triple
T393988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshihide Suga |
E8939
|
entity |
| Predicate | handledCrisis |
P10362
|
FINISHED |
| Object | early phase of COVID-19 pandemic as Prime Minister |
—
|
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: early phase of COVID-19 pandemic as Prime Minister | Statement: [Yoshihide Suga, handledCrisis, early phase of COVID-19 pandemic as Prime Minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handledCrisis Context triple: [Yoshihide Suga, handledCrisis, early phase of COVID-19 pandemic as Prime Minister]
-
A.
held
Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
-
B.
triggered
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
C.
hasDam
Indicates that a watercourse, reservoir, or similar feature is impounded or controlled by a specific dam.
-
D.
controlled
Indicates that one entity has power, authority, or influence to direct, regulate, or determine the behavior, actions, or state of another entity.
-
E.
intervenedIn
chosen
Indicates that an entity took action to alter, influence, or interrupt the course of an event, process, or interaction involving other entities.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec77a8a08190b6f96373aa8c1346 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96bd3848190a66ca14dfbd26da5 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.