Triple

T16158622
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Hausner E392116 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 Hausner, givenName, Rudolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf
Context triple: [Rudolf Hausner, 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 Leopold
    Rudolf Leopold was an Austrian art collector and ophthalmologist best known for assembling one of the world’s foremost collections of modern Austrian art, including major works by Egon Schiele.
  • D. 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.
  • E. Ottofried
    Ottofried is a German given name, now rare, that combines elements meaning “wealth” or “fortune” and “peace.”
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5c9cd0819090e34ee163ffb118 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003546d3e081908f1244b7f4fb1067 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:01 a.m.