Triple
T25804293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Starkweather killing spree |
E649920
|
entity |
| Predicate | executionMethodForPerpetrator |
P159822
|
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: [Charles Starkweather killing spree, executionMethodForPerpetrator, electric chair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionMethodForPerpetrator Context triple: [Charles Starkweather killing spree, executionMethodForPerpetrator, electric chair]
-
A.
perpetratorTrial
Indicates that a legal trial is conducted to judge the actions or guilt of the identified perpetrator.
-
B.
perpetratorType
Indicates the classification or category of the entity that carried out or is responsible for a harmful, illegal, or otherwise wrongful act.
-
C.
perpetratorAccordingToConviction
Indicates that an entity is identified as the perpetrator of an offense according to a formal legal conviction.
-
D.
perpetratedBy
Indicates that an action, event, or wrongdoing was carried out or caused by a particular agent or entity.
-
E.
executioner
Indicates that one entity performs or is responsible for carrying out an execution on another entity.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffcdc66c8190a7aa2f1bdfe01f98 |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 7:01 a.m.