Triple
T894670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Rutledge |
E19316
|
entity |
| Predicate | endTime (Governor of South Carolina) |
P4346
|
FINISHED |
| Object | 1800 |
—
|
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: 1800 | Statement: [Edward Rutledge, endTime (Governor of South Carolina), 1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Governor of South Carolina) Context triple: [Edward Rutledge, endTime (Governor of South Carolina), 1800]
-
A.
endTimeAsGovernorOfLouisiana
Indicates the date and time at which an individual's tenure as Governor of Louisiana concludes.
-
B.
endTimeOfPosition_GovernorOfNewHampshire
Indicates the date and time at which an individual’s tenure in the position of Governor of New Hampshire ends.
-
C.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
D.
currentGovernorStartDate
Indicates the date on which the entity’s current governorship officially began.
-
E.
officeholderEndTime
chosen
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad22b6fc819093e655c8ce1f738b |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa94f7c881908deeb62308942e19 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.