Triple
T16686301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyron Garner |
E405469
|
entity |
| Predicate | impactOfActions |
P4312
|
FINISHED |
| Object | contributed to nationwide invalidation of sodomy laws |
—
|
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: contributed to nationwide invalidation of sodomy laws | Statement: [Tyron Garner, impactOfActions, contributed to nationwide invalidation of sodomy laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfActions Context triple: [Tyron Garner, impactOfActions, contributed to nationwide invalidation of sodomy laws]
-
A.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
B.
socialImpact
chosen
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
C.
recognizesImpactOn
Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
-
D.
encodingImpact
Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
-
E.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea63b7081908a055036172f9683 |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.