Triple
T22052442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Quinn |
E544916
|
entity |
| Predicate | governorshipCharacterizedAs |
P146417
|
FINISHED |
| Object | reform-focused |
—
|
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: reform-focused | Statement: [Pat Quinn, governorshipCharacterizedAs, reform-focused]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorshipCharacterizedAs Context triple: [Pat Quinn, governorshipCharacterizedAs, reform-focused]
-
A.
governorshipType
Indicates the specific form or category of governorship associated with an office, position, or governing role.
-
B.
governorRepresents
Indicates that a governor acts on behalf of, and serves as the official representative of, a particular jurisdiction or group.
-
C.
stateOfGovernorship
Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
-
D.
governorateType
Indicates the specific classification or category of a governorate within an administrative or governmental hierarchy.
-
E.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
- 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_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. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:26 p.m.