Triple
T31384387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rittenhouse Porter |
E800556
|
entity |
| Predicate | termStartAsGovernorOfPennsylvania |
P128072
|
FINISHED |
| Object | 1839 |
—
|
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: 1839 | Statement: [David Rittenhouse Porter, termStartAsGovernorOfPennsylvania, 1839]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsGovernorOfPennsylvania Context triple: [David Rittenhouse Porter, termStartAsGovernorOfPennsylvania, 1839]
-
A.
termEndAsGovernorOfPennsylvania
Indicates that an entity’s tenure in the office of Governor of Pennsylvania has concluded.
-
B.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
C.
startTime_positionHeld_Governor of Pennsylvania
chosen
Indicates the date and time at which an individual began serving in the position of Governor of Pennsylvania.
-
D.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
E.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 9:19 p.m.