Triple

T18160830
Position Surface form Disambiguated ID Type / Status
Subject Edward Zorinsky E434755 entity
Predicate familyName P18 FINISHED
Object Zorinsky
Zorinsky is a surname most notably associated with Edward Zorinsky, a U.S. senator from Nebraska in the late 20th century.
 E1309104 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: Zorinsky | Statement: [Edward Zorinsky, familyName, Zorinsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zorinsky
Context triple: [Edward Zorinsky, familyName, Zorinsky]
  • A. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • D. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • E. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • 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: Zorinsky
Triple: [Edward Zorinsky, familyName, Zorinsky]
Generated description
Zorinsky is a surname most notably associated with Edward Zorinsky, a U.S. senator from Nebraska in the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zorinsky
Target entity description: Zorinsky is a surname most notably associated with Edward Zorinsky, a U.S. senator from Nebraska in the late 20th century.
  • A. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • D. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • E. Sokolovsky
    Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec21e6081909070491f679c873c completed April 19, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fbeb73c81909fd3ce75e4b37ae5 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a039064e8708190b176eaa15eab97e6 completed May 12, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_6a039126d58c8190882d3171bf388a10 completed May 12, 2026, 8:44 p.m.
Created at: April 10, 2026, 10:30 a.m.