Triple

T20324395
Position Surface form Disambiguated ID Type / Status
Subject Arnulf Klett E492293 entity
Predicate name P16 FINISHED
Object Arnulf Klett 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: Arnulf Klett | Statement: [Arnulf Klett, name, Arnulf Klett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnulf Klett
Context triple: [Arnulf Klett, name, Arnulf Klett]
  • A. Arnulf Klett chosen
    Arnulf Klett was a long-serving postwar mayor of Stuttgart who played a key role in the city’s reconstruction and modernization after World War II.
  • B. Eberhard Klett
    Eberhard Klett was an 18th-century German publisher known for issuing Johann Heinrich Lambert’s influential work *Photometria*.
  • C. Karl Bücher
    Karl Bücher was a German economist and statistician known as a leading figure of the German historical school and a pioneer in the study of economic history and the economics of the press.
  • D. Wolfgang Bühler
    Wolfgang Bühler is a notable individual who shares the German surname Bühler, recognized as one of its distinguished bearers.
  • E. Herbert Bauer
    Herbert Bauer, better known by his Hungarian name Béla Balázs, was an influential film theorist, critic, and writer whose work helped shape early cinematic aesthetics and theory.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.