Triple
T16142575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | assassination of James A. Garfield |
E391696
|
entity |
| Predicate | relatedPoliticalIssue |
P25878
|
FINISHED |
| Object | spoils system |
—
|
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: spoils system | Statement: [assassination of James A. Garfield, relatedPoliticalIssue, spoils system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedPoliticalIssue Context triple: [assassination of James A. Garfield, relatedPoliticalIssue, spoils system]
-
A.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
B.
politicalIssueFor
chosen
Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given entity.
-
C.
relatedPoliticalProgram
Indicates that one political program is associated with, connected to, or contextually linked with another political program.
-
D.
politicalInterest
Indicates that an entity has an interest, concern, or engagement in political matters, issues, or activities.
-
E.
politicalAwareness
Indicates an entity’s level of understanding, concern, or engagement with political issues, processes, or power structures.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9082588190bc7e6ff491f0d94e |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.