Triple

T5583790
Position Surface form Disambiguated ID Type / Status
Subject Oleksiy E146702 entity
Predicate hasShortForm P43 FINISHED
Object Lesyk
Lesyk is a diminutive or affectionate short form of the Ukrainian given name Oleksiy.
 E532659 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: Lesyk | Statement: [Oleksiy, hasShortForm, Lesyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lesyk
Context triple: [Oleksiy, hasShortForm, Lesyk]
  • A. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • D. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Lesyk
Triple: [Oleksiy, hasShortForm, Lesyk]
Generated description
Lesyk is a diminutive or affectionate short form of the Ukrainian given name Oleksiy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lesyk
Target entity description: Lesyk is a diminutive or affectionate short form of the Ukrainian given name Oleksiy.
  • A. Veklury
    Veklury is the brand name for remdesivir, an antiviral medication used primarily to treat COVID-19.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. Lys
    Lys is a wealthy and decadent island city-state in the world of *A Song of Ice and Fire* known for its pleasure houses, skilled courtesans, and distinctive Valyrian-descended population.
  • D. Lys
    Lys is a utopian, technologically advanced city in Arthur C. Clarke’s early science fiction universe, known for its preserved vitality and contrast to Earth’s stagnation.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02084b5f0819089b62283c57704ec completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02862bd048190b9db0fd3f3562da2 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c03f8b6e948190870b98d6d69193fe completed March 22, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69c0404aedc08190a9b146466486be6e completed March 22, 2026, 7:17 p.m.
Created at: March 22, 2026, 3:37 p.m.