Triple
T10332192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Vogt |
E242903
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Carl Vogt |
E242903
|
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: Carl Vogt | Statement: [Carl Vogt, name, Carl Vogt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Vogt Context triple: [Carl Vogt, name, Carl Vogt]
-
A.
Carl Vogt
chosen
Carl Vogt was a 19th-century German-Swiss naturalist, zoologist, and politician known for his work in comparative anatomy and his advocacy of scientific materialism.
-
B.
Carl Henry Vogt
Carl Henry Vogt was the birth name of American actor Louis Calhern, a prominent character actor of Hollywood’s Golden Age known for his sophisticated and often villainous roles.
-
C.
Carl Werner
Carl Werner is a personal name shared by several notable individuals, including figures in fields such as art, science, and sports.
-
D.
Alfred Wehrli
Alfred Wehrli was a notable figure significant enough in his community or institution to have Benedetti–Wehrli Stadium named in his honor.
-
E.
Paul Zorner
Paul Zorner was a highly successful German Luftwaffe night fighter ace of World War II, credited with numerous aerial victories during nocturnal operations.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfc1b0488190ac04da58a4987da0 |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794fe4fe481908e4c343ceeb5de25 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:52 a.m.