Triple

T8839272
Position Surface form Disambiguated ID Type / Status
Subject Lifshitz E210345 entity
Predicate isTransliteratedFrom P62529 FINISHED
Object Лифшицъ
Лифшицъ is a Russian-language spelling of the Jewish surname Lifshitz, historically borne by Ashkenazi families in Eastern Europe.
 E761428 NE FINISHED

How this triple was built (4 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: Лифшицъ | Statement: [Lifshitz, isTransliteratedFrom, Лифшицъ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Лифшицъ
Context triple: [Lifshitz, isTransliteratedFrom, Лифшицъ]
  • A. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • B. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • C. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Nikolski
    Nikolski is a small, remote Aleut village located on Umnak Island in Alaska’s Aleutian chain.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Лифшицъ
Triple: [Lifshitz, isTransliteratedFrom, Лифшицъ]
Generated description
Лифшицъ is a Russian-language spelling of the Jewish surname Lifshitz, historically borne by Ashkenazi families in Eastern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Лифшицъ
Target entity description: Лифшицъ is a Russian-language spelling of the Jewish surname Lifshitz, historically borne by Ashkenazi families in Eastern Europe.
  • A. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • B. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • C. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Nikolski
    Nikolski is a small, remote Aleut village located on Umnak Island in Alaska’s Aleutian chain.
  • F. None of above. chosen

Provenance (5 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60849f8c8190b7735defecf55a5d completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89933e8c81909672bcec70f7d5ce completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8bb6d7dc8190a91864130513fa4e completed April 3, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ca3e2788190a33fb28132944759 completed April 3, 2026, 9:47 a.m.
Created at: March 30, 2026, 6:48 p.m.