Triple
T7790134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug DeVos |
E187354
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Betsy DeVos |
E184818
|
NE 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: Betsy DeVos | Statement: [Doug DeVos, relative, Betsy DeVos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy DeVos Context triple: [Doug DeVos, relative, Betsy DeVos]
-
A.
Betsy DeVos
chosen
Betsy DeVos is an American businesswoman and conservative political donor who served as the 11th United States Secretary of Education from 2017 to 2021.
-
B.
Kathy Kraninger
Kathy Kraninger is an American government official who served as Director of the Consumer Financial Protection Bureau under the Trump administration.
-
C.
Grace Priebus
Grace Priebus is the daughter of American attorney and political figure Reince Priebus, former White House Chief of Staff under President Donald Trump.
-
D.
Donna E. Shalala
Donna E. Shalala is an American academic and public servant best known for serving as U.S. Secretary of Health and Human Services and as president of the University of Miami.
-
E.
Susan Brewer
Susan Brewer is an American artist and the former wife of actor Peter Fonda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13b38e708190a688ce4effbf7c48 |
completed | March 31, 2026, 12:22 a.m. |
Created at: March 30, 2026, 4:25 p.m.