Triple

T13315463
Position Surface form Disambiguated ID Type / Status
Subject Hai Gaon E317177 entity
Predicate influenced P9 FINISHED
Object Rashi E81588 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: Rashi | Statement: [Hai Gaon, influenced, Rashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rashi
Context triple: [Hai Gaon, influenced, Rashi]
  • A. Rashi chosen
    Rashi was an influential 11th-century French rabbi and scholar renowned for his comprehensive commentaries on the Hebrew Bible and Talmud.
  • B. Dahn Ben Amotz
    Dahn Ben Amotz was an Israeli writer, satirist, and radio broadcaster known for his influential role in shaping modern Israeli culture and humor.
  • C. Meshech
    Meshech is a biblical people or region mentioned in the Hebrew Bible, often listed among northern nations and associated with prophetic visions of distant lands and future conflicts.
  • D. Leshon Bukharim
    Leshon Bukharim is the traditional Jewish dialect of Tajik spoken historically by the Bukharan Jewish community of Central Asia.
  • E. Rabbeinu haKadosh
    Rabbeinu haKadosh is the honorific title of Judah the Prince, the 2nd-century Jewish sage and leader traditionally credited with compiling and redacting the Mishnah.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f8a86481909ea2942c63037b77 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716ec2ec08190a6e37795b422fe71 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:29 p.m.