Triple
T38259045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nellie Tayloe Ross |
E1017872
|
entity |
| Predicate | succeededBy (Governor of Wyoming) |
P202994
|
FINISHED |
| Object | Frank C. Emerson |
—
|
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: Frank C. Emerson | Statement: [Nellie Tayloe Ross, succeededBy (Governor of Wyoming), Frank C. Emerson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: succeededBy (Governor of Wyoming) Context triple: [Nellie Tayloe Ross, succeededBy (Governor of Wyoming), Frank C. Emerson]
-
A.
precededBy (Governor of Wyoming)
Indicates that one holder of the office of Governor of Wyoming served in that position before another specified Governor of Wyoming.
-
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 California)
Indicates that one individual directly follows another in holding the office of Governor of California.
-
E.
succeededBy (Governor of Maine)
Indicates that one individual directly follows another in holding the office of Governor of Maine.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
| PDg | Predicate description generation | batch_6a00d8b8eac08190809c78998e09c47c |
completed | May 10, 2026, 7:12 p.m. |
Created at: May 3, 2026, 4:30 p.m.