Triple
T33063248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Arkansas |
E846026
|
entity |
| Predicate | isNonStatutoryOffice |
P175767
|
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: [First Lady of Arkansas, isNonStatutoryOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonStatutoryOffice Context triple: [First Lady of Arkansas, isNonStatutoryOffice, true]
-
A.
isStatutory
Indicates that something exists, applies, or is defined by virtue of formal law or statute rather than by custom, contract, or other sources.
-
B.
isOfficialOfficeOf
Indicates that one entity serves as the formally recognized office or headquarters associated with another entity.
-
C.
isNonConstitutionalOffice
chosen
Indicates that the office or position in question is not established or defined by a formal constitution.
-
D.
isNonPoliticalOffice
Indicates that the office or position in question is not associated with political power, political decision-making, or elected political roles.
-
E.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:25 a.m.