Triple
T8296773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Dodge |
E194238
|
entity |
| Predicate | startTime (Governor of Wisconsin Territory) |
P82585
|
FINISHED |
| Object | 1836 |
—
|
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: 1836 | Statement: [Henry Dodge, startTime (Governor of Wisconsin Territory), 1836]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Governor of Wisconsin Territory) Context triple: [Henry Dodge, startTime (Governor of Wisconsin Territory), 1836]
-
A.
startTime (Governor of Vermont)
Indicates the point in time at which an individual begins serving as Governor of Vermont.
-
B.
startTime (Governor of South Carolina)
Indicates the point in time at which a person begins serving as Governor of South Carolina.
-
C.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
-
D.
startTime (United States Senator from Indiana)
Indicates the point in time at which a person begins serving as a United States Senator from Indiana.
-
E.
startTime (Secretary of the Interior)
Indicates the point in time when the individual began serving as Secretary of the Interior.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df887148190bddc2609bc885cb4 |
completed | March 31, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:53 p.m.