Triple
T8206702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sevier |
E191704
|
entity |
| Predicate | servedAsGovernorOfTennesseeInNonconsecutiveTerms |
P81496
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [John Sevier, servedAsGovernorOfTennesseeInNonconsecutiveTerms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsGovernorOfTennesseeInNonconsecutiveTerms Context triple: [John Sevier, servedAsGovernorOfTennesseeInNonconsecutiveTerms, true]
-
A.
succeededBy (Governor of Tennessee)
Indicates that one individual directly follows another in holding the office of Governor of Tennessee.
-
B.
precededBy (Governor of Tennessee)
Indicates that one entity held the position of Governor of Tennessee before another entity, establishing a temporal order of officeholders.
-
C.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
D.
succeededInOfficeAsGovernorOfGeorgiaBy
Indicates that one person was followed in the position of Governor of Georgia by another specific person.
-
E.
officeHeldAsGovernor
Indicates that an entity holds or has held the official position of governor of a political or administrative region.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726b520081908ce4a03bd14dfcdf |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:43 p.m.