Triple

T20758271
Position Surface form Disambiguated ID Type / Status
Subject Boris Schatz E510904 entity
Predicate fullName P16 FINISHED
Object Boris Schatz 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: Boris Schatz | Statement: [Boris Schatz, fullName, Boris Schatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boris Schatz
Context triple: [Boris Schatz, fullName, Boris Schatz]
  • A. Boris Schatz chosen
    Boris Schatz was a Lithuanian-born Jewish artist and sculptor best known as the founder of the Bezalel School of Arts and Crafts in Jerusalem, a cornerstone institution of Israeli art.
  • B. Carl Blechen
    Carl Blechen was a 19th-century German painter renowned for his dramatic, atmospheric landscapes that helped shape the European Romantic landscape tradition.
  • C. Hans Kopfermann
    Hans Kopfermann was a German experimental physicist known for his pioneering work in nuclear physics and atomic spectroscopy, particularly in the study of nuclear spins and moments.
  • D. Wilhelm Leibl
    Wilhelm Leibl was a 19th-century German realist painter renowned for his unidealized depictions of rural life and meticulous attention to naturalistic detail.
  • E. Fritz von Uhde
    Fritz von Uhde was a German painter known for combining Impressionist techniques with religious and genre scenes set in contemporary everyday settings.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2464fb08190b6b141ca12d9f3f4 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:35 p.m.