Triple
T8062766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruger |
E188164
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Krüger |
E184390
|
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: Krüger | Statement: [Kruger, hasVariant, Krüger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krüger Context triple: [Kruger, hasVariant, Krüger]
-
A.
Rooseveldt
Rooseveldt is an alternative spelling variant of the surname Roosevelt, most famously associated with U.S. Presidents Theodore and Franklin D. Roosevelt.
-
B.
Ozinga
Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
-
C.
Kretschmann
Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
-
D.
Krueger
chosen
Krueger is a German-origin surname borne by numerous notable individuals across fields such as military, politics, arts, and academia.
-
E.
Castrisch
Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63da3bd08190894b2f4c977167c0 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.