Triple

T8698258
Position Surface form Disambiguated ID Type / Status
Subject Resnik E206455 entity
Predicate hasVariant P455 FINISHED
Object Reznik E721521 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: Reznik | Statement: [Resnik, hasVariant, Reznik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reznik
Context triple: [Resnik, hasVariant, Reznik]
  • A. Reznik chosen
    Reznik is a surname of likely Eastern European origin, often associated with Jewish and Slavic families and appearing in various transliterated forms such as Resnick.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Zinovy
    Zinovy is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • E. Zaretsky
    Zaretsky is a minor character in Alexander Pushkin’s verse novel "Eugene Onegin," known primarily as the experienced and somewhat cynical second in the duel between Onegin and Lensky.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58af50408190a3b81100a759795e completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef40e7a2881909e2d7eee0d931992 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.