Triple
T24937496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Granholm |
E623355
|
entity |
| Predicate | succeededBy (Governor of Michigan) |
P159706
|
FINISHED |
| Object | Rick Snyder |
—
|
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: Rick Snyder | Statement: [Jennifer Granholm, succeededBy (Governor of Michigan), Rick Snyder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededBy (Governor of Michigan) Context triple: [Jennifer Granholm, succeededBy (Governor of Michigan), Rick Snyder]
-
A.
succeededBy (Governor of California)
Indicates that one individual directly follows another in holding the office of Governor of California.
-
B.
succeededBy (Governor of Vermont)
Indicates that one individual directly followed another in holding the office of Governor of Vermont.
-
C.
succeededBy (Governor of Pennsylvania)
Indicates that one individual directly follows another in holding the office of Governor of Pennsylvania.
-
D.
succeededBy (Governor of Maine)
Indicates that one individual directly follows another in holding the office of Governor of Maine.
-
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. 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5f7a205688190b8f36bff5013247c |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 18, 2026, 5:30 a.m.