Triple
T14117274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Kroger |
E339804
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bernard Kroger |
E339804
|
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: Bernard Kroger | Statement: [Bernard Kroger, name, Bernard Kroger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Kroger Context triple: [Bernard Kroger, name, Bernard Kroger]
-
A.
Bernard Kroger
chosen
Bernard Kroger was an American businessman and entrepreneur best known for founding the Kroger grocery store chain, which grew into one of the largest supermarket chains in the United States.
-
B.
Larry "Pinto" Kroger
Larry "Pinto" Kroger is a naive college freshman who becomes a central member of the misfit Delta Tau Chi fraternity in the comedy film *Animal House*.
-
C.
David Sprecher
David Sprecher is an author known for his work related to streets and urban environments.
-
D.
Bernard Kohler
Bernard Kohler is a person known primarily as a notable bearer of the surname Kohler, though specific widely recognized achievements or roles are not well documented.
-
E.
Oskar Burger
Oskar Burger is an evolutionary anthropologist known for his research on human life history, aging, and demographic patterns.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de609322ac8190bb389ca250882af5 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.