Triple
T18007207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanover, Nebraska |
E430783
|
entity |
| Predicate | hasResident |
P6481
|
FINISHED |
| Object | Emil Bergson |
—
|
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: Emil Bergson | Statement: [Hanover, Nebraska, hasResident, Emil Bergson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emil Bergson Context triple: [Hanover, Nebraska, hasResident, Emil Bergson]
-
A.
Emil Bergson
chosen
Emil Bergson is a central figure in Willa Cather’s novel "O Pioneers!", representing youthful passion and the struggles of second-generation immigrant life on the American frontier.
-
B.
Oscar Bergson
Oscar Bergson is a character in Willa Cather’s novel "O Pioneers!", one of Alexandra Bergson’s brothers in the immigrant farming family on the Nebraska prairie.
-
C.
Abram Bergson
Abram Bergson was an influential American economist best known for formalizing the concept of the social welfare function and shaping modern welfare economics.
-
D.
Woldemar Baeckman
Woldemar Baeckman was a Finnish architect known for his significant contributions to early 20th-century architecture in Finland.
-
E.
Gustav von Vaerst
Gustav von Vaerst was a German Wehrmacht general who commanded armored forces, including in the North African campaign during World War II.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51c7da48190ab70775a672e2d5f |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.