Triple

T13486961
Position Surface form Disambiguated ID Type / Status
Subject Motke Ganef E318528 entity
Predicate mainCharacter P1183 FINISHED
Object Motke E318528 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: Motke | Statement: [Motke Ganef, mainCharacter, Motke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motke
Context triple: [Motke Ganef, mainCharacter, Motke]
  • A. Motke Ganef chosen
    Motke Ganef is a Yiddish novel by Sholem Asch that follows the life and moral struggles of a Jewish thief in Eastern European shtetl society.
  • B. Mereschkowski
    Mereschkowski is the surname of Konstantin Mereschkowski, a Russian biologist known for proposing the theory of symbiogenesis in the early 20th century.
  • C. Maychew
    Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
  • D. Smoktunovsky
    Smoktunovsky is the surname of Innokenty Smoktunovsky, a renowned Soviet and Russian actor celebrated for his stage and film performances.
  • E. Mrugowsky
    Mrugowsky is a German surname most notably associated with Joachim Mrugowsky, an SS officer and physician involved in Nazi human experimentation during World War II.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75483a6f88190b3815fb8d97e65e4 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.