Triple
T15426221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Rüdiger Hess |
E369516
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ursula Hess
Ursula Hess was the wife of Wolf Rüdiger Hess, the son of prominent Nazi official Rudolf Hess.
|
E1164168
|
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: Ursula Hess | Statement: [Wolf Rüdiger Hess, spouse, Ursula Hess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ursula Hess Context triple: [Wolf Rüdiger Hess, spouse, Ursula Hess]
-
A.
Marieluise Hessel
Marieluise Hessel is an art collector and philanthropist known for her significant contemporary art collection and support of the Hessel Museum of Art.
-
B.
Ursula Seiler-Ayçiçek
Ursula Seiler-Ayçiçek is a German local politician who serves as the mayor of the town of Herbrechtingen in Baden-Württemberg.
-
C.
Ursula Hirschmann
Ursula Hirschmann was a German-born anti-fascist activist and pioneering European federalist who played a key role in the early movement for European integration.
-
D.
Ursula Reit
Ursula Reit was a German actress best known for her role as Mrs. Gloop in the 1971 film "Willy Wonka & the Chocolate Factory."
-
E.
Elisabeth Volkenrath
Elisabeth Volkenrath was a Nazi SS overseer at several concentration camps, including Auschwitz and Bergen-Belsen, who was tried and executed for war crimes after World War II.
- 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: Ursula Hess Triple: [Wolf Rüdiger Hess, spouse, Ursula Hess]
Generated description
Ursula Hess was the wife of Wolf Rüdiger Hess, the son of prominent Nazi official Rudolf Hess.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ursula Hess Target entity description: Ursula Hess was the wife of Wolf Rüdiger Hess, the son of prominent Nazi official Rudolf Hess.
-
A.
Marieluise Hessel
Marieluise Hessel is an art collector and philanthropist known for her significant contemporary art collection and support of the Hessel Museum of Art.
-
B.
Ursula Seiler-Ayçiçek
Ursula Seiler-Ayçiçek is a German local politician who serves as the mayor of the town of Herbrechtingen in Baden-Württemberg.
-
C.
Ursula Hirschmann
Ursula Hirschmann was a German-born anti-fascist activist and pioneering European federalist who played a key role in the early movement for European integration.
-
D.
Ursula Reit
Ursula Reit was a German actress best known for her role as Mrs. Gloop in the 1971 film "Willy Wonka & the Chocolate Factory."
-
E.
Elisabeth Volkenrath
Elisabeth Volkenrath was a Nazi SS overseer at several concentration camps, including Auschwitz and Bergen-Belsen, who was tried and executed for war crimes after World War II.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4546959081909f94449c0028ca3e |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff49541fcc8190a1d22721bc255e19 |
completed | May 9, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff49f6db508190b0127a59d332512e |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 10, 2026, 3:20 a.m.