Triple

T10940412
Position Surface form Disambiguated ID Type / Status
Subject Shirley Marlin Noznisky E258453 entity
Predicate hasFamilyName P18 FINISHED
Object Noznisky
Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
 E895309 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: Noznisky | Statement: [Shirley Marlin Noznisky, hasFamilyName, Noznisky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noznisky
Context triple: [Shirley Marlin Noznisky, hasFamilyName, Noznisky]
  • A. Niska
    Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
  • B. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • C. Sniatyn
    Sniatyn is a historic town in western Ukraine known for its architectural heritage and location near the Prut River.
  • D. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • E. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • 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: Noznisky
Triple: [Shirley Marlin Noznisky, hasFamilyName, Noznisky]
Generated description
Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noznisky
Target entity description: Noznisky is a relatively uncommon family surname associated with individuals such as Shirley Marlin Noznisky.
  • A. Niska
    Niska is a French rapper known for his energetic trap-influenced style, inventive slang, and hit tracks that have significantly impacted the Francophone hip-hop scene.
  • B. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • C. Sniatyn
    Sniatyn is a historic town in western Ukraine known for its architectural heritage and location near the Prut River.
  • D. Chrudimka
    Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
  • E. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c2821c8190a7b08276c4bfbf33 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c0e940081908c84ea4cf3b877fc completed April 17, 2026, 1:56 p.m.
NEDg Description generation batch_69e24541cbb481908f14a9cb2787c118 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f48dc88190af9491e8cdc4a532 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.