Triple
T2842716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Clausius |
E62506
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rudolf |
E79214
|
NE FINISHED |
How this triple was built (2 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 Clausius, givenName, Rudolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolf Context triple: [Rudolf Clausius, 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.
Rudolf
chosen
Rudolf is a masculine given name of German origin, historically borne by several notable figures including scientists, nobles, and artists.
-
C.
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.
-
D.
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.
-
E.
Adolph
Adolph is a masculine given name of German origin, historically borne by various notable figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d7c84e8819098089bd1c6874189 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:01 p.m.