Triple
T21690091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Crosby Kemper Jr. |
E535336
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kemper |
—
|
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: Kemper | Statement: [R. Crosby Kemper Jr., familyName, Kemper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemper Context triple: [R. Crosby Kemper Jr., familyName, Kemper]
-
A.
Kemper
chosen
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
-
B.
Kempner
Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
-
C.
Dumke
Dumke is a German-origin surname borne by various notable individuals, including academics and public figures.
-
D.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
E.
Foraker
Foraker is a surname most notably associated with Joseph B. Foraker, a prominent American politician who served as governor of Ohio and U.S. senator in the late 19th and early 20th centuries.
- 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_69e0c46a6ee481908836e1420fb78c9b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96ce2ff88190a6cbfff45bb6a04f |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.