Triple
T7502196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernice Fisher |
E177288
|
entity |
| Predicate | employedNonviolence |
P77882
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bernice Fisher, employedNonviolence, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedNonviolence Context triple: [Bernice Fisher, employedNonviolence, yes]
-
A.
peacePolicy
Indicates a policy or set of measures aimed at promoting, maintaining, or restoring peaceful relations between parties.
-
B.
nonCooperationMayLeadTo
Indicates that a lack of cooperation in a situation can potentially result in certain negative or consequential outcomes.
-
C.
nonGovernmental
Indicates that an entity, action, or relationship is not associated with, controlled by, or part of a government or governmental body.
-
D.
advocatesAgainst
Indicates that one entity actively opposes, argues against, or campaigns to prevent or stop another entity, action, or idea.
-
E.
combatOrNonCombat
Indicates whether an entity is involved in combat activities or is in a non-combat role or situation.
- F. None of above. chosen
Provenance (4 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:44 p.m.