Triple
T16103499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Weaver |
E390680
|
entity |
| Predicate | compensationReason |
P121934
|
FINISHED |
| Object | wrongful deaths and injuries at Ruby Ridge |
—
|
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: wrongful deaths and injuries at Ruby Ridge | Statement: [Randy Weaver, compensationReason, wrongful deaths and injuries at Ruby Ridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compensationReason Context triple: [Randy Weaver, compensationReason, wrongful deaths and injuries at Ruby Ridge]
-
A.
commissionReason
Indicates the reason or justification for which a commission is initiated, assigned, or granted between entities.
-
B.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
C.
compensationModel
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
-
D.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
E.
compensationPolicy
Indicates the rules or guidelines that govern how compensation (such as salary, bonuses, or benefits) is determined and provided.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6a4b8881908e8dc186381196d8 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5 a.m.