Triple
T7958761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Rufus King |
E184806
|
entity |
| Predicate | officeAssumedAsVicePresident |
P10270
|
FINISHED |
| Object | 1853-03-04 |
—
|
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: 1853-03-04 | Statement: [William Rufus King, officeAssumedAsVicePresident, 1853-03-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAssumedAsVicePresident Context triple: [William Rufus King, officeAssumedAsVicePresident, 1853-03-04]
-
A.
leftOfficeAsVicePresident
Indicates that an individual ceased holding the position of vice president, marking the end of their term in that office.
-
B.
officeAssumedAsLieutenantGovernor
Indicates that an individual has formally taken on and begun serving in the role of lieutenant governor.
-
C.
vicePresident
Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
-
D.
servesAsVicePresidentDuring
Indicates that one entity holds the position of vice president for another entity during a specified time period.
-
E.
termStartAsVicePresident
chosen
Indicates that an entity begins its term in office holding the position of vice president.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b80050c81909b2db95ade495052 |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.