Triple

T4793981
Position Surface form Disambiguated ID Type / Status
Subject Vilna Gaon E106667 entity
Predicate alsoKnownAs P39 FINISHED
Object Gra E149397 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: Gra | Statement: [Vilna Gaon, alsoKnownAs, Gra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gra
Context triple: [Vilna Gaon, alsoKnownAs, Gra]
  • A. Gra chosen
    Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
  • B. Oyun
    Oyun is a local government area in Kwara State, Nigeria, known for its administrative role and local communities within the state.
  • C. Žehra
    Žehra is a historic village in eastern Slovakia renowned for its UNESCO-listed Gothic church and its proximity to the medieval Spiš Castle.
  • D. Ejogo
    Ejogo is a surname most notably associated with British actress and singer Carmen Ejogo.
  • E. Graf
    Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66088d588190839acfbac6e1c3dd completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f0be108190aebcc9b1a824e624 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.