Triple
T21089880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonny Perdue |
E519607
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Ervin |
—
|
NE NERFINISHED |
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: Ervin | Statement: [Sonny Perdue, middleName, Ervin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ervin Context triple: [Sonny Perdue, middleName, Ervin]
-
A.
Ervin
chosen
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
B.
Joseph Neubauer
Joseph Neubauer is an American businessman best known for his long tenure as CEO and chairman of food services and facilities management company Aramark.
-
C.
Rifkind
Rifkind is a Scottish surname most notably associated with Sir Malcolm Rifkind, a prominent British Conservative politician and former Foreign Secretary.
-
D.
Don Ettlinger
Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
-
E.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094dd65481909391ed74115afc23 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.