Triple
T21538072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Ferdinand von Traun |
E531403
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
von Traun
Von Traun is a German noble family name historically associated with Austrian military and aristocratic figures such as Otto Ferdinand von Traun.
|
E1489429
|
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 Traun | Statement: [Otto Ferdinand von Traun, familyName, von Traun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Traun Context triple: [Otto Ferdinand von Traun, familyName, von Traun]
-
A.
Trauner
Trauner is a surname most notably associated with Alexandre Trauner, the influential Hungarian-French production designer and art director known for his work on classic films.
-
B.
Vörnle
Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
-
C.
Trauntal
Trauntal is the valley carved by Austria’s Traun River, known for its scenic landscapes and alpine surroundings.
-
D.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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 Traun Triple: [Otto Ferdinand von Traun, familyName, von Traun]
Generated description
Von Traun is a German noble family name historically associated with Austrian military and aristocratic figures such as Otto Ferdinand von Traun.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: von Traun Target entity description: Von Traun is a German noble family name historically associated with Austrian military and aristocratic figures such as Otto Ferdinand von Traun.
-
A.
Trauner
Trauner is a surname most notably associated with Alexandre Trauner, the influential Hungarian-French production designer and art director known for his work on classic films.
-
B.
Vörnle
Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
-
C.
Trauntal
Trauntal is the valley carved by Austria’s Traun River, known for its scenic landscapes and alpine surroundings.
-
D.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
-
E.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0fdf448190b47ac7c28904f86b |
completed | April 26, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e835fd08819098fde7600d5c91d6 |
completed | May 17, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_6a09e909a4888190aa1d704eb157d86d |
completed | May 17, 2026, 4:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ea119664819081b072c892fc0471 |
completed | May 17, 2026, 4:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.