Triple

T21141056
Position Surface form Disambiguated ID Type / Status
Subject Parasha E520926 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Evgenii 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: Evgenii | Statement: [Parasha, hasRelationshipWith, Evgenii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evgenii
Context triple: [Parasha, hasRelationshipWith, Evgenii]
  • A. Yevgeny chosen
    Yevgeny is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Georgii
    Georgii is a masculine given name, commonly used in Slavic countries as a variant of George.
  • C. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.