Triple

T6447680
Position Surface form Disambiguated ID Type / Status
Subject Baal Shem Tov E139782 entity
Predicate child P120 FINISHED
Object Tzvi Hirsh E597929 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: Tzvi Hirsh | Statement: [Baal Shem Tov, child, Tzvi Hirsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tzvi Hirsh
Context triple: [Baal Shem Tov, child, Tzvi Hirsh]
  • A. Menachem Mendel Hager
    Menachem Mendel Hager was a prominent 19th-century Hasidic rabbi who established the Vizhnitz Hasidic dynasty in Eastern Europe.
  • B. Zvi Hirsch chosen
    Zvi Hirsch was a son of the Baal Shem Tov (Israel ben Eliezer), the founder of Hasidic Judaism, and is traditionally regarded as part of the early Hasidic rabbinic lineage.
  • C. Meir Vilner
    Meir Vilner was a prominent Israeli communist politician and one of the signatories of Israel’s Declaration of Independence.
  • D. Yehuda Leib
    Yehuda Leib was a prominent rabbi and Zionist leader who played a key role in the religious and political life of the early State of Israel.
  • E. Meir Teper
    Meir Teper is a film producer best known for his work on notable movies such as "What's Eating Gilbert Grape."
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069afd8c48190b3cab580c813ecab completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67403f7bc81908020e7f488121f8f completed March 27, 2026, 12:11 p.m.
Created at: March 22, 2026, 4:47 p.m.