Triple
T22052412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Quinn |
E544916
|
entity |
| Predicate | termAsLieutenantGovernorStart |
P71683
|
FINISHED |
| Object | 2003-01-13 |
—
|
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: 2003-01-13 | Statement: [Pat Quinn, termAsLieutenantGovernorStart, 2003-01-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsLieutenantGovernorStart Context triple: [Pat Quinn, termAsLieutenantGovernorStart, 2003-01-13]
-
A.
startTimeAsLieutenantGovernor
chosen
Indicates the date and time at which an individual began serving in the role of lieutenant governor.
-
B.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
C.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
D.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
-
E.
endTimeAsLieutenantGovernor
Indicates the date and time at which an individual’s service in the role of lieutenant governor comes to an end.
- 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.