Triple
T21545264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph Rupp |
E531606
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rupp |
—
|
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: Rupp | Statement: [Adolph Rupp, familyName, Rupp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupp Context triple: [Adolph Rupp, familyName, Rupp]
-
A.
Rupp
chosen
Rupp is a surname most prominently associated with Adolph Rupp, the legendary American college basketball coach at the University of Kentucky.
-
B.
Ruppert
Ruppert is a masculine given name and surname of Germanic origin, related to the name Rupert.
-
C.
Retton
Retton is the surname of Mary Lou Retton, the pioneering American gymnast who became an Olympic champion and national sports icon in the 1980s.
-
D.
Rucker
Rucker is a small unincorporated community located in the U.S. state of Missouri.
-
E.
Ruehl
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.