Triple
T12111149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Saro-Wiwa |
E288431
|
entity |
| Predicate | methodOfPoliticalActivity |
P95774
|
FINISHED |
| Object | nonviolent protest |
—
|
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: nonviolent protest | Statement: [Ken Saro-Wiwa, methodOfPoliticalActivity, nonviolent protest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfPoliticalActivity Context triple: [Ken Saro-Wiwa, methodOfPoliticalActivity, nonviolent protest]
-
A.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
-
B.
mannerOfActivism
chosen
Indicates the specific way or method by which an entity engages in activism.
-
C.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
D.
politicalAct
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
E.
hasAuthorPoliticalActivity
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.