Triple

T13486868
Position Surface form Disambiguated ID Type / Status
Subject Sholem Asch E318525 entity
Predicate notableWork P4 FINISHED
Object Onkel Mozes E318527 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: Onkel Mozes | Statement: [Sholem Asch, notableWork, Onkel Mozes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onkel Mozes
Context triple: [Sholem Asch, notableWork, Onkel Mozes]
  • A. Moshe
    Moshe is the Hebrew given name of the influential 16th-century Polish rabbi and halachic authority known as the Rema of Kraków (Rabbi Moses Isserles).
  • B. Onkel Moses chosen
    Onkel Moses is a Yiddish novel by Sholem Asch that portrays the lives and struggles of Jewish immigrants in New York’s Lower East Side.
  • C. Moses the Black
    Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
  • D. Moses
    Moses is a central prophet and leader in the Hebrew Bible, traditionally credited with leading the Israelites out of Egypt and receiving the Ten Commandments from God.
  • E. Moses
    Moses is a narrative poem by Ukrainian writer Ivan Franko that reinterprets the biblical story of the prophet Moses as an allegory for the Ukrainian people's struggle and destiny.
  • 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_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.