Triple
T31845917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Tennessee |
E812938
|
entity |
| Predicate | isNonElectedPosition |
P82733
|
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 Tennessee, isNonElectedPosition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonElectedPosition Context triple: [First Lady of Tennessee, isNonElectedPosition, true]
-
A.
isElectedPositionIn
Indicates that a given position is one that is filled through an election process within a specified organization, jurisdiction, or governing body.
-
B.
isNonCabinetPosition
Indicates that the position held by an individual is not part of the official cabinet-level roles within a government or organization.
-
C.
isNonPoliticalOffice
chosen
Indicates that the office or position in question is not associated with political power, political decision-making, or elected political roles.
-
D.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
E.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b0369b6c8190b623282c0547da21 |
completed | May 3, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:50 p.m.