Triple
T31384398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rittenhouse Porter |
E800556
|
entity |
| Predicate | succeededByAsGovernorOfPennsylvania |
P28729
|
FINISHED |
| Object | Francis Rawn Shunk |
—
|
NE NERFINISHED |
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: Francis Rawn Shunk | Statement: [David Rittenhouse Porter, succeededByAsGovernorOfPennsylvania, Francis Rawn Shunk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededByAsGovernorOfPennsylvania Context triple: [David Rittenhouse Porter, succeededByAsGovernorOfPennsylvania, Francis Rawn Shunk]
-
A.
succeededBy (Governor of Pennsylvania)
chosen
Indicates that one individual directly follows another in holding the office of Governor of Pennsylvania.
-
B.
succeededByAsGovernorOfIndiana
Indicates that one person directly followed another in holding the office of Governor of Indiana.
-
C.
succeededBy (Governor of Virginia)
Indicates that one individual directly followed another in holding the office of Governor of Virginia.
-
D.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
E.
succeededBy (Governor of New York)
Indicates that one individual directly follows another in holding the office of 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: April 29, 2026, 9:19 p.m.