Triple
T21317191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günther Pancke |
E525502
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pancke
Pancke is a German-language surname most notably borne by Günther Pancke, a high-ranking SS official during the Nazi era.
|
E1477782
|
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: Pancke | Statement: [Günther Pancke, familyName, Pancke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pancke Context triple: [Günther Pancke, familyName, Pancke]
-
A.
Paepcke
Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
-
B.
Pepusch
Pepusch is a surname most notably associated with Johann Christoph Pepusch, a German-born Baroque composer who worked extensively in London.
-
C.
Polle
Polle is a small German village in Lower Saxony known for its scenic Weser River setting and associations with the Brothers Grimm fairy tales.
-
D.
Gottesacker
Gottesacker is a German term meaning “God’s field,” traditionally used to refer to a Christian burial ground or cemetery.
-
E.
Paneas
Paneas is the ancient name of the city later known as Caesarea Philippi, a Hellenistic and Roman-era settlement near the Banias spring at the base of Mount Hermon in the Levant.
- 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: Pancke Triple: [Günther Pancke, familyName, Pancke]
Generated description
Pancke is a German-language surname most notably borne by Günther Pancke, a high-ranking SS official during the Nazi era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pancke Target entity description: Pancke is a German-language surname most notably borne by Günther Pancke, a high-ranking SS official during the Nazi era.
-
A.
Paepcke
Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
-
B.
Pepusch
Pepusch is a surname most notably associated with Johann Christoph Pepusch, a German-born Baroque composer who worked extensively in London.
-
C.
Polle
Polle is a small German village in Lower Saxony known for its scenic Weser River setting and associations with the Brothers Grimm fairy tales.
-
D.
Gottesacker
Gottesacker is a German term meaning “God’s field,” traditionally used to refer to a Christian burial ground or cemetery.
-
E.
Paneas
Paneas is the ancient name of the city later known as Caesarea Philippi, a Hellenistic and Roman-era settlement near the Banias spring at the base of Mount Hermon in the Levant.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dd0b34481909dd6d37cf8e42144 |
completed | April 21, 2026, 11:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099edd7aec8190911c1c2b7f8a2232 |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099f7804c48190b3b70dc7b16c991d |
completed | May 17, 2026, 10:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a06ea2fc8190b1b7cc0e6574f574 |
completed | May 17, 2026, 11:03 a.m. |
Created at: April 16, 2026, 4:34 p.m.