Triple
T568745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Virchow |
E13615
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Rudolf
Rudolf is a masculine given name of German origin, historically borne by several notable figures including scientists, nobles, and artists.
|
E79214
|
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: Rudolf | Statement: [Rudolf Virchow, givenName, Rudolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolf Context triple: [Rudolf Virchow, givenName, Rudolf]
-
A.
Rudolf
Rudolf is the given name of the German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
-
B.
Eduard Ludwig
Eduard Ludwig was a German architect best known for designing the Berlin Airlift Memorial (Luftbrückendenkmal), commemorating the Allied airlift during the Berlin Blockade.
-
C.
Roman von Ungern-Sternberg
Roman von Ungern-Sternberg was a Baltic German nobleman and anti-Bolshevik warlord best known for his brutal, monarchist rule in Mongolia during the Russian Civil War.
-
D.
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
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: Rudolf Triple: [Rudolf Virchow, givenName, Rudolf]
Generated description
Rudolf is a masculine given name of German origin, historically borne by several notable figures including scientists, nobles, and artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rudolf Target entity description: Rudolf is a masculine given name of German origin, historically borne by several notable figures including scientists, nobles, and artists.
-
A.
Rudolf
Rudolf is the given name of the German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
-
B.
Eduard Ludwig
Eduard Ludwig was a German architect best known for designing the Berlin Airlift Memorial (Luftbrückendenkmal), commemorating the Allied airlift during the Berlin Blockade.
-
C.
Roman von Ungern-Sternberg
Roman von Ungern-Sternberg was a Baltic German nobleman and anti-Bolshevik warlord best known for his brutal, monarchist rule in Mongolia during the Russian Civil War.
-
D.
Nikolaus
Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
-
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
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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b0406d481908af5fc7bc67103fb |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4973c88190a7d234f480ecade5 |
completed | March 2, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_69a56cdb8bd08190ac98f36a134d78d5 |
completed | March 2, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56d8713a88190ba3ad6585e64db23 |
completed | March 2, 2026, 10:59 a.m. |
Created at: March 1, 2026, 7:33 p.m.