Triple
T15186584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulrich von Jungingen |
E362891
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Jungingen
von Jungingen is a German noble family name historically associated with prominent leaders of the Teutonic Order.
|
E1142295
|
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 Jungingen | Statement: [Ulrich von Jungingen, familyName, von Jungingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Jungingen Context triple: [Ulrich von Jungingen, familyName, von Jungingen]
-
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 Münnich
von Münnich is the noble German family name of Burkhard Christoph von Münnich, an 18th-century military commander and statesman who served in the Russian Empire.
-
C.
von Schlieben
von Schlieben is a German noble family name historically associated with military officers and aristocracy.
-
D.
von Schweidnitz
Von Schweidnitz is a German noble family name historically associated with Silesian aristocracy.
-
E.
von Holzhausen
von Holzhausen is a German-origin surname historically associated with several notable figures, including contemporary automotive designer Franz von Holzhausen.
- 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 Jungingen Triple: [Ulrich von Jungingen, familyName, von Jungingen]
Generated description
von Jungingen is a German noble family name historically associated with prominent leaders of the Teutonic Order.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Jungingen Target entity description: von Jungingen is a German noble family name historically associated with prominent leaders of the Teutonic Order.
-
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 Münnich
von Münnich is the noble German family name of Burkhard Christoph von Münnich, an 18th-century military commander and statesman who served in the Russian Empire.
-
C.
von Schlieben
von Schlieben is a German noble family name historically associated with military officers and aristocracy.
-
D.
von Schweidnitz
Von Schweidnitz is a German noble family name historically associated with Silesian aristocracy.
-
E.
von Holzhausen
von Holzhausen is a German-origin surname historically associated with several notable figures, including contemporary automotive designer Franz von Holzhausen.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec895b59c81908a09f8393a35aa13 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec9ece2fc8190811e83185cdb4dfc |
completed | May 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc58d7b0819082090b6205b77b16 |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:09 a.m.