Triple
T1670263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmuth Weidling |
E36107
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Weidling
Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
|
E197552
|
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: Weidling | Statement: [Helmuth Weidling, familyName, Weidling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weidling Context triple: [Helmuth Weidling, familyName, Weidling]
-
A.
Eidlitz
Eidlitz is a surname most notably associated with Leopold Eidlitz, a prominent 19th-century American architect.
-
B.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
C.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
D.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
E.
Lindauer
Lindauer is a German surname borne by various notable individuals across fields such as science, art, and public life.
- 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: Weidling Triple: [Helmuth Weidling, familyName, Weidling]
Generated description
Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weidling Target entity description: Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
-
A.
Eidlitz
Eidlitz is a surname most notably associated with Leopold Eidlitz, a prominent 19th-century American architect.
-
B.
Lochau
Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
-
C.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
D.
Grauspitz
Grauspitz is a prominent alpine peak in the Rätikon range of the Alps, known as the highest mountain in Liechtenstein and shared with Switzerland.
-
E.
Lindauer
Lindauer is a German surname borne by various notable individuals across fields such as science, art, and public life.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa624285bc8190a763e99e548a3294 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0c87ff88190a6ebdf9566856e03 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada524a234819082f94430da4e802d |
completed | March 8, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada5bc32ac8190a921410bdfa465fa |
completed | March 8, 2026, 4:37 p.m. |
Created at: March 4, 2026, 7:29 p.m.