Triple
T19801734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Geiger |
E475695
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | August Geiger |
—
|
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: August Geiger | Statement: [August Geiger, name, August Geiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: August Geiger Context triple: [August Geiger, name, August Geiger]
-
A.
August Geiger
chosen
August Geiger was a prominent early 20th-century American architect known for shaping South Florida’s architectural landscape, particularly in Miami.
-
B.
August Geiger
August Geiger was a German World War II Luftwaffe night fighter ace credited with numerous aerial victories during nocturnal combat operations.
-
C.
Ludwig Geiger
Ludwig Geiger was a German historian and literary scholar known for his work on German humanism and the Reformation.
-
D.
Carl Graebe
Carl Graebe was a German organic chemist best known for co-discovering the synthesis of the dye alizarin, which helped launch the synthetic dye industry.
-
E.
Joseph Weisbecker
Joseph Weisbecker was an American engineer and computer designer best known for pioneering early hobbyist microcomputers and educational computing systems in the 1970s.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cc995c81908e4ca85b0639d541 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.