Triple
T2458072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do or Die |
E54467
|
entity |
| Predicate | methodAdvocated |
P26857
|
FINISHED |
| Object | non-violent resistance |
—
|
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: non-violent resistance | Statement: [Do or Die, methodAdvocated, non-violent resistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodAdvocated Context triple: [Do or Die, methodAdvocated, non-violent resistance]
-
A.
hasAdvocacyMethod
chosen
Indicates the method, strategy, or approach used to advocate for a cause, issue, or entity.
-
B.
method
Indicates the technique, procedure, or process used by an entity to perform an action or achieve a result.
-
C.
advocates
Indicates that one entity publicly supports, recommends, or argues in favor of another entity or its interests.
-
D.
arguedUnder
Indicates that one entity presented arguments or conducted a legal case under the supervision, authority, or guidance of another entity (such as a mentor, attorney, or judge).
-
E.
alsoAppealsTo
Indicates that something attracts, interests, or is pleasing to an additional person, group, or audience beyond the primary one.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.