Triple
T7941051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krueger |
E184390
|
entity |
| Predicate | etymologicallyDerivedFrom |
P453
|
FINISHED |
| Object |
German word "Krüger"
The German word "Krüger" is a surname and occupational term historically referring to an innkeeper or tavern owner.
|
E697225
|
NE FINISHED |
How this triple was built (4 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: German word "Krüger" | Statement: [Krueger, etymologicallyDerivedFrom, German word "Krüger"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German word "Krüger" Context triple: [Krueger, etymologicallyDerivedFrom, German word "Krüger"]
-
A.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
B.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
-
C.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
D.
David (German)
David (German) is the German form of the given name "David," commonly used in German-speaking countries and derived from the Hebrew name meaning "beloved."
-
E.
German Kid
"German Kid" is a track from the album "Standing in the Spotlight," likely reflecting the record’s punk-influenced, offbeat musical style and themes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: German word "Krüger" Triple: [Krueger, etymologicallyDerivedFrom, German word "Krüger"]
Generated description
The German word "Krüger" is a surname and occupational term historically referring to an innkeeper or tavern owner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: German word "Krüger" Target entity description: The German word "Krüger" is a surname and occupational term historically referring to an innkeeper or tavern owner.
-
A.
Schier (German)
Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
-
B.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
-
C.
Roth (German)
Roth (German) is a German-language surname and place name that commonly refers to various towns in Germany and to people of German origin bearing the name Roth.
-
D.
David (German)
David (German) is the German form of the given name "David," commonly used in German-speaking countries and derived from the Hebrew name meaning "beloved."
-
E.
German Kid
"German Kid" is a track from the album "Standing in the Spotlight," likely reflecting the record’s punk-influenced, offbeat musical style and themes.
- F. None of above. chosen
Provenance (5 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0ac8bc8190b4e4f79b15c316b3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c1265008190a97ccedf92f9234e |
completed | March 31, 2026, 5:30 a.m. |
| NEDg | Description generation | batch_69cb5f22f89c8190a98208bf096a2427 |
completed | March 31, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76d2dff8819085ad9e10baad1537 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:08 p.m.