Triple

T14850980
Position Surface form Disambiguated ID Type / Status
Subject Leopold Museum E349225 entity
Predicate namedAfter P63 FINISHED
Object Rudolf Leopold E1124793 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 Leopold | Statement: [Leopold Museum, namedAfter, Rudolf Leopold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf Leopold
Context triple: [Leopold Museum, namedAfter, Rudolf Leopold]
  • A. Rudolf Leopold chosen
    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.
  • 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. Rudolf
    Rudolf is the given name of the German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • D. Rudolf
    Rudolf is a masculine given name of German origin, historically borne by several notable figures including scientists, nobles, and artists.
  • E. Rudolf Prinz
    Rudolf Prinz is a notable individual who bears the German surname Prinz, recognized for his significance among people with that name.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded441e70881909bbf62b66d932aff completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a87dd88190b0f0c3b9b625a7e6 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:54 a.m.