Triple
T12767112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma State Penitentiary |
E305152
|
entity |
| Predicate | previousMethodOfExecution |
P106799
|
FINISHED |
| Object | electrocution |
—
|
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: electrocution | Statement: [Oklahoma State Penitentiary, previousMethodOfExecution, electrocution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMethodOfExecution Context triple: [Oklahoma State Penitentiary, previousMethodOfExecution, electrocution]
-
A.
previousRuntime
Indicates that one runtime instance temporally preceded another runtime instance in execution order.
-
B.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
C.
previousBranch
Indicates that one branch directly precedes another in an ordered sequence of branches.
-
D.
previousAbility
Indicates that an entity possessed a particular ability or capability at an earlier time or in a prior state.
-
E.
previousRule
Indicates that one rule directly precedes another rule in an ordered sequence or hierarchy.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df3b2f88190b37b696400178795 |
completed | April 10, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.