Triple

T23216379
Position Surface form Disambiguated ID Type / Status
Subject Julius Rudel E580755 entity
Predicate name P16 FINISHED
Object Julius Rudel NE NERFINISHED

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: Julius Rudel | Statement: [Julius Rudel, name, Julius Rudel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julius Rudel
Context triple: [Julius Rudel, name, Julius Rudel]
  • A. Julius Rudel chosen
    Julius Rudel was an Austrian-born American conductor and opera administrator best known for leading and shaping the New York City Opera during its mid-20th-century heyday.
  • B. Franz Walter Stahlecker
    Franz Walter Stahlecker was a high-ranking Nazi SS officer who led Einsatzgruppe A, overseeing mass murders of Jews and other civilians in Eastern Europe during World War II.
  • C. Erich Hoepner
    Erich Hoepner was a German general in the Wehrmacht during World War II, known for commanding panzer forces on the Eastern Front and later being implicated in the resistance against Adolf Hitler.
  • D. Hans Luder
    Hans Luder was a German miner and smelter master best known as the father of the Protestant Reformer Martin Luther.
  • E. Oscar Werwath
    Oscar Werwath was a German-born American engineer and educator best known as the founder and first leader of the Milwaukee School of Engineering.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19165949c81908e4d66a8a2b0a25a completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.