Triple
T21928914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogdan von Knorring |
E541515
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Knorring
von Knorring is a German-origin noble family name historically associated with Baltic German and Russian aristocracy.
|
E1509051
|
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: von Knorring | Statement: [Bogdan von Knorring, familyName, von Knorring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Knorring Context triple: [Bogdan von Knorring, familyName, von Knorring]
-
A.
von Hagedorn
Von Hagedorn is a German noble family name most notably associated with the 18th-century poet Friedrich von Hagedorn.
-
B.
von Kniprode
Von Kniprode is a German noble family name most notably associated with Winrich von Kniprode, a prominent Grand Master of the Teutonic Order in the 14th century.
-
C.
von Kühn
von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
-
D.
Ekornes
Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
-
E.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
- 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: von Knorring Triple: [Bogdan von Knorring, familyName, von Knorring]
Generated description
von Knorring is a German-origin noble family name historically associated with Baltic German and Russian aristocracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Knorring Target entity description: von Knorring is a German-origin noble family name historically associated with Baltic German and Russian aristocracy.
-
A.
von Hagedorn
Von Hagedorn is a German noble family name most notably associated with the 18th-century poet Friedrich von Hagedorn.
-
B.
von Kniprode
Von Kniprode is a German noble family name most notably associated with Winrich von Kniprode, a prominent Grand Master of the Teutonic Order in the 14th century.
-
C.
von Kühn
von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
-
D.
Ekornes
Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
-
E.
von Schlebrügge
von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60e3ad4c8190a874b2659388556a |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a618e55c4819099ab070410e4f1a9 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a621fe47081908575a17b9895395a |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:47 p.m.