Triple

T15516190
Position Surface form Disambiguated ID Type / Status
Subject Nastia Liukin E368839 entity
Predicate familyName P18 FINISHED
Object Liukin
Liukin is the surname of Nastia Liukin, the Russian-American artistic gymnast and 2008 Olympic all-around champion.
 E1162011 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: Liukin | Statement: [Nastia Liukin, familyName, Liukin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liukin
Context triple: [Nastia Liukin, familyName, Liukin]
  • A. Lukin
    Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
  • B. Kihlaus
    Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
  • C. Luhanka
    Luhanka is a small rural municipality in central Finland known for its lakeside landscapes and tranquil countryside.
  • D. Liski
    Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
  • E. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • 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: Liukin
Triple: [Nastia Liukin, familyName, Liukin]
Generated description
Liukin is the surname of Nastia Liukin, the Russian-American artistic gymnast and 2008 Olympic all-around champion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liukin
Target entity description: Liukin is the surname of Nastia Liukin, the Russian-American artistic gymnast and 2008 Olympic all-around champion.
  • A. Lukin
    Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
  • B. Kihlaus
    Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
  • C. Luhanka
    Luhanka is a small rural municipality in central Finland known for its lakeside landscapes and tranquil countryside.
  • D. Liski
    Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
  • E. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5111648190a61fc87170b0d93c completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:02 a.m.