Triple

T21622423
Position Surface form Disambiguated ID Type / Status
Subject Slabodka yeshiva E533610 entity
Predicate hasStudent P48 FINISHED
Object Yechezkel Sarna 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: Yechezkel Sarna | Statement: [Slabodka yeshiva, hasStudent, Yechezkel Sarna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yechezkel Sarna
Context triple: [Slabodka yeshiva, hasStudent, Yechezkel Sarna]
  • A. Yechezkel Sarna chosen
    Yechezkel Sarna was a prominent 20th-century Lithuanian-born rabbi and Torah scholar who led the Slabodka yeshiva and later helped reestablish it in Hebron and Jerusalem.
  • B. Moses Hadas
    Moses Hadas was a prominent 20th-century American classical scholar and translator known for making Greek and Latin literature accessible to modern readers.
  • C. Yaakov Zerubavel
    Yaakov Zerubavel was a prominent Zionist activist and leader in the early Labor Zionist movement in Palestine.
  • D. Menashe Noy
    Menashe Noy is an Israeli actor known for his roles in film and television, including the espionage drama series "Tehran."
  • E. Shmuel Sambursky
    Shmuel Sambursky was an Israeli physicist and historian of science known for his influential work on the conceptual development of physics in antiquity and the Middle Ages.
  • 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bb0c42c8190997fbeb7a764d60e completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.