Triple
T11927355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Käthe Vörnle |
E283815
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Vörnle
Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
|
E955455
|
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: Vörnle | Statement: [Käthe Vörnle, hasFamilyName, Vörnle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vörnle Context triple: [Käthe Vörnle, hasFamilyName, Vörnle]
-
A.
Vöckla
Vöckla is a river in Upper Austria that flows through the town of Vöcklabruck before joining the Ager.
-
B.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
-
C.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
D.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
E.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
- 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: Vörnle Triple: [Käthe Vörnle, hasFamilyName, Vörnle]
Generated description
Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vörnle Target entity description: Vörnle is a German-language surname associated with individuals such as Käthe Vörnle.
-
A.
Vöckla
Vöckla is a river in Upper Austria that flows through the town of Vöcklabruck before joining the Ager.
-
B.
Vohenstrauß
Vohenstrauß is a small town in the Upper Palatinate region of Bavaria, Germany, known for its historic architecture and surrounding forested landscapes.
-
C.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
-
D.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
E.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440525e9881909b21df139d97d986 |
completed | May 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69f448fb898081908a8ffd0da703c0f9 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44b9e662881908549e041f6a05e38 |
completed | May 1, 2026, 6:43 a.m. |
Created at: April 8, 2026, 9:45 p.m.