Triple
T7744595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn Youngkin |
E175594
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Youngkin |
E175594
|
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: Youngkin | Statement: [Glenn Youngkin, familyName, Youngkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Youngkin Context triple: [Glenn Youngkin, familyName, Youngkin]
-
A.
Glenn Youngkin
chosen
Glenn Youngkin is an American businessman and Republican politician who serves as the 74th governor of Virginia.
-
B.
Vivek Ramaswamy
Vivek Ramaswamy is an American entrepreneur, author, and political figure known for founding the biopharmaceutical company Roivant Sciences and for his outspoken critiques of corporate “woke” capitalism.
-
C.
Bob McDonnell
Bob McDonnell is an American Republican politician and attorney who served as the 71st Governor of Virginia from 2010 to 2014.
-
D.
Matt Bevin
Matt Bevin is an American Republican politician and businessman who served as the 62nd governor of Kentucky from 2015 to 2019.
-
E.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70389e9548190a57b5370f4b9fee9 |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be4cdb148190af3ebaf9ac35b641 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.