Triple
T1485283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gebhard Leberecht von Blücher |
E29450
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Leberecht
Leberecht is the given name of Gebhard Leberecht von Blücher, the famed Prussian field marshal who played a key role in defeating Napoleon at Waterloo.
|
E174440
|
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: Leberecht | Statement: [Gebhard Leberecht von Blücher, givenName, Leberecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leberecht Context triple: [Gebhard Leberecht von Blücher, givenName, Leberecht]
-
A.
Eberhard
Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
-
B.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
C.
Armin, Prince of Lippe
Armin, Prince of Lippe is a German nobleman who served as the head of the former ruling House of Lippe in the late 20th and early 21st centuries.
-
D.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
E.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
- 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: Leberecht Triple: [Gebhard Leberecht von Blücher, givenName, Leberecht]
Generated description
Leberecht is the given name of Gebhard Leberecht von Blücher, the famed Prussian field marshal who played a key role in defeating Napoleon at Waterloo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leberecht Target entity description: Leberecht is the given name of Gebhard Leberecht von Blücher, the famed Prussian field marshal who played a key role in defeating Napoleon at Waterloo.
-
A.
Eberhard
Eberhard is a German masculine given name of Old High German origin, traditionally meaning "strong boar" or "brave boar."
-
B.
Gebhard
chosen
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
-
C.
Armin, Prince of Lippe
Armin, Prince of Lippe is a German nobleman who served as the head of the former ruling House of Lippe in the late 20th and early 21st centuries.
-
D.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
E.
Wilhelm
Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
- F. None of above.
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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a1d8448190b3c90bb82fd806fe |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeabea0d88190b0bd83aece8c7b55 |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeea29fd4819099e1ac22b9ce123f |
completed | March 8, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adef4913608190824764bd79821a7e |
completed | March 8, 2026, 9:51 p.m. |
Created at: March 1, 2026, 8:12 p.m.