Triple
T32446966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Penn |
E829174
|
entity |
| Predicate | officeStartForGovernorOfPennsylvania |
P128072
|
FINISHED |
| Object | 1763 |
—
|
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: 1763 | Statement: [John Penn, officeStartForGovernorOfPennsylvania, 1763]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForGovernorOfPennsylvania Context triple: [John Penn, officeStartForGovernorOfPennsylvania, 1763]
-
A.
officeStartTime (Lieutenant Governor of Pennsylvania)
Indicates the time at which the Lieutenant Governor of Pennsylvania officially begins their term in office.
-
B.
startTime_positionHeld_Governor of Pennsylvania
chosen
Indicates the date and time at which an individual began serving in the position of Governor of Pennsylvania.
-
C.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
D.
officeEndTime (Lieutenant Governor of Pennsylvania)
Indicates the time at which the Lieutenant Governor of Pennsylvania’s term in office concludes.
-
E.
officeStartForGovernorOfTaiwanProvince
Indicates the date on which an individual begins their term of office as the Governor of Taiwan Province.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: May 1, 2026, 12:56 a.m.