Triple
T7169844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Schweiker |
E167164
|
entity |
| Predicate | officeStartTime (Lieutenant Governor of Pennsylvania) |
P74513
|
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: [Mark Schweiker, officeStartTime (Lieutenant Governor of Pennsylvania), 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Lieutenant Governor of Pennsylvania) Context triple: [Mark Schweiker, officeStartTime (Lieutenant Governor of Pennsylvania), 1995]
-
A.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
B.
officeStartTime (Governor of Nebraska)
Indicates the time at which the Governor of Nebraska officially begins their term in office.
-
C.
officeStartTime (Governor of Illinois)
Indicates the time at which the Governor of Illinois officially begins their term in office.
-
D.
officeStartTime (Governor of New York)
Indicates the specific time at which the Governor of New York officially begins their term in office.
-
E.
officeStartTime (United States Senator)
Indicates the time at which a United States Senator’s term in office officially 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85d8f208190915f6f4c05988b63 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1ce5f048190808c378a980f7bb6 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:48 p.m.