Triple
T6099970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Rassendyll |
E135968
|
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 Rassendyll, givenName, Rudolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolf Context triple: [Rudolf Rassendyll, 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.
Rudolf of Habsburg
Rudolf of Habsburg was the first king of Germany from the Habsburg dynasty, whose election in 1273 marked the end of the Great Interregnum in the Holy Roman Empire.
-
D.
Ottofried
Ottofried is a German given name, now rare, that combines elements meaning “wealth” or “fortune” and “peace.”
-
E.
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.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254b963081908e8e45968a7b29aa |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.