Triple
T33063247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Arkansas |
E846026
|
entity |
| Predicate | isNonConstitutionalOffice |
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, isNonConstitutionalOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonConstitutionalOffice Context triple: [First Lady of Arkansas, isNonConstitutionalOffice, true]
-
A.
isNonPoliticalOffice
Indicates that the office or position in question is not associated with political power, political decision-making, or elected political roles.
-
B.
isConstitutionalAuthority
Indicates that an entity holds recognized legal or institutional power derived from or defined by a constitution.
-
C.
isNonCabinetPosition
Indicates that the position held by an individual is not part of the official cabinet-level roles within a government or organization.
-
D.
isNonpartisanOffice
Indicates that the office or position is not affiliated with, controlled by, or contested along formal political party lines.
-
E.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:25 a.m.