Triple
T794814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester A. Arthur |
E16994
|
entity |
| Predicate | orderInOfficeAsVicePresident |
P14236
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Chester A. Arthur, orderInOfficeAsVicePresident, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInOfficeAsVicePresident Context triple: [Chester A. Arthur, orderInOfficeAsVicePresident, 20]
-
A.
servesAsVicePresidentDuring
Indicates that one entity holds the position of vice president for another entity during a specified time period.
-
B.
vicePresident
Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
-
C.
vicePresidentialOrder
chosen
Indicates that one entity holds a specific position in the ordered sequence of vice presidents relative to another entity.
-
D.
orderInOffice
Indicates that one entity holds a specific sequential position or rank within a defined term or period of holding an office or official role.
-
E.
vicePresidentDuringSecondTerm
Indicates that one entity served as vice president during the second term of another entity’s tenure in office.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b04cd8819092e2fd7ba4df8672 |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.