Triple
T27398318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Bowen |
E691754
|
entity |
| Predicate | typeOfElectiveOffice |
P18993
|
FINISHED |
| Object | statewide constitutional office |
—
|
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: statewide constitutional office | Statement: [Debra Bowen, typeOfElectiveOffice, statewide constitutional office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfElectiveOffice Context triple: [Debra Bowen, typeOfElectiveOffice, statewide constitutional office]
-
A.
typeOfOffice
chosen
Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
-
B.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
C.
isElectoralOffice
Indicates that the referenced position or role is an official public office filled through an electoral process.
-
D.
executiveElectedBy
Indicates that an executive assumes office as a result of being chosen through a formal election conducted by a specified person, group, or body.
-
E.
typeOfElector
Indicates the specific category or classification of an elector within an electoral or voting context.
- 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: April 27, 2026, 12:28 p.m.