Triple
T24937495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Granholm |
E623355
|
entity |
| Predicate | precededBy (Governor of Michigan) |
P105536
|
FINISHED |
| Object | John Engler |
—
|
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: John Engler | Statement: [Jennifer Granholm, precededBy (Governor of Michigan), John Engler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededBy (Governor of Michigan) Context triple: [Jennifer Granholm, precededBy (Governor of Michigan), John Engler]
-
A.
precededBy (Governor of California)
Indicates that one entity held the position of Governor of California before another entity in temporal order.
-
B.
precededBy (Governor of Maine)
Indicates that one entity held the position of Governor of Maine before another entity.
-
C.
precededBy (Governor of Vermont)
Indicates that one holder of the office of Governor of Vermont served in that position before another specified holder.
-
D.
precededBy (Governor of New York)
Indicates that one entity held the position of Governor of New York before another entity.
-
E.
precededByAsGovernor
chosen
Indicates that one individual previously held the position of governor before another specific individual.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:30 a.m.