Triple
T12894964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzi von Sonnenthal |
E308467
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Sonnenthal
Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
|
E1008828
|
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 Sonnenthal | Statement: [Luzi von Sonnenthal, familyName, von Sonnenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Sonnenthal Context triple: [Luzi von Sonnenthal, familyName, von Sonnenthal]
-
A.
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.
-
B.
von Kühn
von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
-
C.
von Lichnowsky
von Lichnowsky is the surname of a prominent Silesian noble family of princes known for their influence in Prussian and Austrian political and cultural life.
-
D.
von Detten
von Detten is a German-origin surname most notably associated with American actor Erik von Detten.
-
E.
von Bohlen und Halbach
von Bohlen und Halbach is a German aristocratic family name historically associated with the industrial Krupp dynasty.
- 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 Sonnenthal Triple: [Luzi von Sonnenthal, familyName, von Sonnenthal]
Generated description
Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Sonnenthal Target entity description: Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
-
A.
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.
-
B.
von Kühn
von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
-
C.
von Lichnowsky
von Lichnowsky is the surname of a prominent Silesian noble family of princes known for their influence in Prussian and Austrian political and cultural life.
-
D.
von Detten
von Detten is a German-origin surname most notably associated with American actor Erik von Detten.
-
E.
von Bohlen und Halbach
von Bohlen und Halbach is a German aristocratic family name historically associated with the industrial Krupp dynasty.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55daf788190be72af98b288bd70 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a641d1988190b9af41c8c7ca599e |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a77ba20081908f72f46f64382fca |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:40 p.m.