Triple
T7800253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Nichols |
E180411
|
entity |
| Predicate | juryDecision |
P55326
|
FINISHED |
| Object | spared death penalty (federal) |
—
|
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: spared death penalty (federal) | Statement: [Terry Nichols, juryDecision, spared death penalty (federal)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juryDecision Context triple: [Terry Nichols, juryDecision, spared death penalty (federal)]
-
A.
juryProvidedBy
Indicates that a particular jury is supplied, appointed, or made available by a specified source or authority.
-
B.
judge
Indicates that one entity evaluates, forms an opinion about, or makes a decision regarding another entity or situation.
-
C.
judgeFrom
Indicates that one entity forms an opinion, evaluation, or conclusion about something based on another specified source, basis, or perspective.
-
D.
juryComposition
Indicates the relationship specifying how a jury is constituted, including the number, type, or characteristics of its members.
-
E.
decisionResultsIn
chosen
Indicates that a particular decision leads to, causes, or brings about a specific outcome or result.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:33 p.m.