Triple
T12057654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son Kee-chung |
E287082
|
entity |
| Predicate | protestAction |
P16107
|
FINISHED |
| Object | signed his name as Korean rather than Japanese |
—
|
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: signed his name as Korean rather than Japanese | Statement: [Son Kee-chung, protestAction, signed his name as Korean rather than Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protestAction Context triple: [Son Kee-chung, protestAction, signed his name as Korean rather than Japanese]
-
A.
protests
Indicates that an entity publicly expresses opposition or disapproval toward another entity, action, or situation.
-
B.
protestForm
chosen
Indicates the specific method or mode by which a protest or demonstration is carried out.
-
C.
notableProtest
Indicates that an entity is recognized for having led, organized, or been centrally involved in a significant protest or demonstration.
-
D.
responseToProtests
Indicates how an individual, group, or institution reacts or takes action in relation to protests or demonstrations.
-
E.
hasProtestMovement
Indicates that an entity is associated with, or gives rise to, an organized protest movement opposing or advocating change related to it.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.