Triple
T16823471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold L. Volkmer |
E408954
|
entity |
| Predicate | area of political activity |
P11461
|
FINISHED |
| Object | gun policy in the United States |
—
|
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: gun policy in the United States | Statement: [Harold L. Volkmer, area of political activity, gun policy in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: area of political activity Context triple: [Harold L. Volkmer, area of political activity, gun policy in the United States]
-
A.
genreOfPoliticalActivity
Indicates the specific type or category of political activity that characterizes or classifies a given political action or engagement.
-
B.
areaOfActivism
chosen
Indicates the specific social, political, or environmental cause or issue that an entity actively advocates for or works to change.
-
C.
politicalActivityRegion
Indicates the geographic region or area in which a political activity takes place or is focused.
-
D.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
E.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e838e881908b650194c9b94886 |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.