Triple

T9589265
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Dreikurs E231374 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 Dreikurs, givenName, Rudolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf
Context triple: [Rudolf Dreikurs, 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f1696c8190addf1a43544f2c18 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161880adc819090a9be75ba2a1642 completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:06 p.m.