Triple

T16223508
Position Surface form Disambiguated ID Type / Status
Subject Luria E393787 entity
Predicate hasVariant P455 FINISHED
Object Lurye
Lurye is a variant spelling of the surname Luria, historically associated with notable Jewish rabbinic and scholarly families.
 E1200519 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: Lurye | Statement: [Luria, hasVariant, Lurye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lurye
Context triple: [Luria, hasVariant, Lurye]
  • A. Khoyski
    Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. Lazarev
    Lazarev is a rural settlement located within the Nikolaevsky District of Russia.
  • D. Breshkovsky
    Breshkovsky is the surname of Catherine Breshkovsky, a prominent Russian revolutionary often called the "grandmother of the Russian Revolution."
  • E. Baryatinsky
    Baryatinsky is the surname of a Russian princely noble family historically prominent in the Russian Empire’s military and political life.
  • 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: Lurye
Triple: [Luria, hasVariant, Lurye]
Generated description
Lurye is a variant spelling of the surname Luria, historically associated with notable Jewish rabbinic and scholarly families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lurye
Target entity description: Lurye is a variant spelling of the surname Luria, historically associated with notable Jewish rabbinic and scholarly families.
  • A. Khoyski
    Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. Lazarev
    Lazarev is a rural settlement located within the Nikolaevsky District of Russia.
  • D. Breshkovsky
    Breshkovsky is the surname of Catherine Breshkovsky, a prominent Russian revolutionary often called the "grandmother of the Russian Revolution."
  • E. Baryatinsky
    Baryatinsky is the surname of a Russian princely noble family historically prominent in the Russian Empire’s military and political life.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d23e63881908806920d878f2adb completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0008d53b6081908d66b2c09e8b2565 completed May 10, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a00096cabec81908fec25052e9cf4f8 completed May 10, 2026, 4:28 a.m.
Created at: April 10, 2026, 5:03 a.m.