Triple

T10662982
Position Surface form Disambiguated ID Type / Status
Subject Lipski E251274 entity
Predicate hasVariant P455 FINISHED
Object Lipsky
Lipsky is a surname of likely Eastern European origin borne by various individuals across fields such as politics, academia, and the arts.
 E876620 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: Lipsky | Statement: [Lipski, hasVariant, Lipsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lipsky
Context triple: [Lipski, hasVariant, Lipsky]
  • A. Lipsett
    Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
  • B. Lipsitz
    Lipsitz is a variant spelling of the Jewish surname Lifshitz, which has Ashkenazi origins.
  • C. Levitt
    Levitt is the surname of American economist and author Steven Levitt, best known as the co-author of the book "Freakonomics."
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. McCloskey
    McCloskey is a surname most notably associated with John Cardinal McCloskey, the first American cardinal in the Roman Catholic Church.
  • 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: Lipsky
Triple: [Lipski, hasVariant, Lipsky]
Generated description
Lipsky is a surname of likely Eastern European origin borne by various individuals across fields such as politics, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lipsky
Target entity description: Lipsky is a surname of likely Eastern European origin borne by various individuals across fields such as politics, academia, and the arts.
  • A. Lipsett
    Lipsett is a surname of English and Irish origin borne by various notable individuals across fields such as the military, politics, and the arts.
  • B. Lipsitz
    Lipsitz is a variant spelling of the Jewish surname Lifshitz, which has Ashkenazi origins.
  • C. Levitt
    Levitt is the surname of American economist and author Steven Levitt, best known as the co-author of the book "Freakonomics."
  • D. Levshitz
    Levshitz is an alternative transliteration of the Russian surname Lifshitz, commonly associated with several notable scientists and intellectuals.
  • E. McCloskey
    McCloskey is a surname most notably associated with John Cardinal McCloskey, the first American cardinal in the Roman Catholic Church.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31db6288190857533213fa9f20d completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc2b66c8190909a23927fbe3af5 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e189800819087bf6af15b2370a2 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.