Triple
T28170367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. v. Drybones |
E715440
|
entity |
| Predicate | rightsInvolved |
P133651
|
FINISHED |
| Object | equality before the law |
—
|
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: equality before the law | Statement: [R. v. Drybones, rightsInvolved, equality before the law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsInvolved Context triple: [R. v. Drybones, rightsInvolved, equality before the law]
-
A.
rightsImplicated
chosen
Indicates that certain rights are affected, challenged, or brought into question as a consequence of the related action or relationship.
-
B.
rights
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
C.
rightsCategory
Indicates the classification or type of rights associated with an entity or relationship.
-
D.
rightsInclude
Indicates that one set of rights encompasses, contains, or subsumes another set of rights.
-
E.
rightsEnforced
Indicates that legal or moral rights are actively upheld, protected, or compelled through appropriate mechanisms or actions.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 10:12 p.m.