Triple
T12796478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntsville Unit |
E305901
|
entity |
| Predicate | previousExecutionMethod |
P106446
|
FINISHED |
| Object | electric chair |
—
|
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: electric chair | Statement: [Huntsville Unit, previousExecutionMethod, electric chair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousExecutionMethod Context triple: [Huntsville Unit, previousExecutionMethod, electric chair]
-
A.
previousRuntime
Indicates that one runtime instance temporally preceded another runtime instance in execution order.
-
B.
previousCommand
Indicates that one command directly precedes another in a sequence of executed commands.
-
C.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
D.
previousAbility
Indicates that an entity possessed a particular ability or capability at an earlier time or in a prior state.
-
E.
previousRoute
Indicates that one route directly precedes another in an ordered sequence of routes.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:30 p.m.