Triple
T30257589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Aiken |
E769394
|
entity |
| Predicate | startTime (Lieutenant Governor of Vermont) |
P197925
|
FINISHED |
| Object | 1935 |
—
|
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: 1935 | Statement: [George Aiken, startTime (Lieutenant Governor of Vermont), 1935]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Lieutenant Governor of Vermont) Context triple: [George Aiken, startTime (Lieutenant Governor of Vermont), 1935]
-
A.
startTime (Governor of Vermont)
Indicates the point in time at which an individual begins serving as Governor of Vermont.
-
B.
endTime (Lieutenant Governor of Vermont)
Indicates the point in time at which a person’s tenure as Lieutenant Governor of Vermont concludes.
-
C.
startTime (Governor of Rhode Island)
Indicates the point in time at which a person begins serving as Governor of Rhode Island.
-
D.
startTime (Governor of Virginia)
Indicates the point in time at which a person begins serving as Governor of Virginia.
-
E.
startTime (United States Senator)
Indicates the point in time at which an individual’s service as a United States Senator begins.
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69feba0e362c81909883a3f24a4a9545 |
completed | May 9, 2026, 4:37 a.m. |
Created at: April 29, 2026, 7:41 p.m.