Triple
T511610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Carnap |
E10621
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rudolf |
E55226
|
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 Carnap, givenName, Rudolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudolf Context triple: [Rudolf Carnap, givenName, Rudolf]
-
A.
Rudolf
chosen
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.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f16768c081909d05537ff070868b |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5216a74088190bf8d363d32952c28 |
completed | March 2, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.