Triple
T22052418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Quinn |
E544916
|
entity |
| Predicate | focusAsGovernor |
P874
|
FINISHED |
| Object | ethics reform |
—
|
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: ethics reform | Statement: [Pat Quinn, focusAsGovernor, ethics reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusAsGovernor Context triple: [Pat Quinn, focusAsGovernor, ethics reform]
-
A.
governorAction
chosen
Indicates that a governor performs, initiates, or is responsible for a specific action or decision.
-
B.
typicalGovernorPosition
Indicates the usual or standard official position or office that a governor typically holds.
-
C.
governorRepresents
Indicates that a governor acts on behalf of, and serves as the official representative of, a particular jurisdiction or group.
-
D.
facedAutonomousGovernor
Indicates that an entity encountered or confronted an autonomous governor in a governing or decision-making context.
-
E.
intendedToGovern
Indicates that one entity was meant or designated to exercise authority or control over another entity or group.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.