Triple
T25964027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Assault Weapons Ban |
E645614
|
entity |
| Predicate | grandfatherClause |
P159854
|
FINISHED |
| Object | allowed possession of pre-ban weapons and magazines |
—
|
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: allowed possession of pre-ban weapons and magazines | Statement: [Federal Assault Weapons Ban, grandfatherClause, allowed possession of pre-ban weapons and magazines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandfatherClause Context triple: [Federal Assault Weapons Ban, grandfatherClause, allowed possession of pre-ban weapons and magazines]
-
A.
grandfather
Indicates that one entity is the male parent of another entity’s parent.
-
B.
grandfatherEstateOf
Indicates that one entity is the estate or inherited property originating from the grandfather of another entity.
-
C.
grandfatherInLaw
Indicates that one person is the grandfather of another person’s spouse.
-
D.
grandfatherIs
Indicates that one entity is the grandfather (parent of a parent) of another entity.
-
E.
granduncleOf
Indicates that one person is the brother of another person's grandparent.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604c8ef408190bfd4571fb262372b |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 8:48 a.m.