Triple

T3258634
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Friml E68358 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 Friml, givenName, Rudolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf
Context triple: [Rudolf Friml, 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. 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.
  • E. 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.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed3a7908190bfab434a64af5f2f completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.