Triple
T25897132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Pataki |
E652497
|
entity |
| Predicate | officeStartTimeAsGovernorOfNewYork |
P60261
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [George Pataki, officeStartTimeAsGovernorOfNewYork, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTimeAsGovernorOfNewYork Context triple: [George Pataki, officeStartTimeAsGovernorOfNewYork, 1995]
-
A.
officeStartTime (Governor of New York)
chosen
Indicates the specific time at which the Governor of New York officially begins their term in office.
-
B.
officeStartTime (Governor of New Jersey)
Indicates the time at which the Governor of New Jersey officially begins their term in office.
-
C.
officeEndTime (Governor of New York)
Indicates the time at which a person’s tenure as Governor of New York officially ends.
-
D.
officeStartForMayorOfNewYorkCity
Indicates the date on which an individual begins their term in office as the Mayor of New York City.
-
E.
startTime (Governor of New York)
Indicates the point in time at which a person begins serving as Governor of New York.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 22, 2026, 8:23 a.m.