Triple

T21964667
Position Surface form Disambiguated ID Type / Status
Subject Leonid Kinskey E542426 entity
Predicate familyName P18 FINISHED
Object Kinskey
Kinskey is a surname most notably associated with Leonid Kinskey, a Russian-American character actor known for his eccentric and comedic film roles in Hollywood’s classic era.
 E1510371 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: Kinskey | Statement: [Leonid Kinskey, familyName, Kinskey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kinskey
Context triple: [Leonid Kinskey, familyName, Kinskey]
  • A. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • B. Kinson
    Kinson is a residential suburb within the Poole–Bournemouth urban area on the south coast of England.
  • C. Burdine
    Burdine is the respondent in the U.S. Supreme Court employment discrimination case Texas Department of Community Affairs v. Burdine, which clarified the burden of proof framework in Title VII disparate treatment claims.
  • D. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • E. Kemper
    Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
  • 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: Kinskey
Triple: [Leonid Kinskey, familyName, Kinskey]
Generated description
Kinskey is a surname most notably associated with Leonid Kinskey, a Russian-American character actor known for his eccentric and comedic film roles in Hollywood’s classic era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kinskey
Target entity description: Kinskey is a surname most notably associated with Leonid Kinskey, a Russian-American character actor known for his eccentric and comedic film roles in Hollywood’s classic era.
  • A. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • B. Kinson
    Kinson is a residential suburb within the Poole–Bournemouth urban area on the south coast of England.
  • C. Burdine
    Burdine is the respondent in the U.S. Supreme Court employment discrimination case Texas Department of Community Affairs v. Burdine, which clarified the burden of proof framework in Title VII disparate treatment claims.
  • D. Karns
    Karns is an unincorporated suburban community in Knox County, Tennessee, situated within the Knoxville metropolitan area.
  • E. Kemper
    Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12459e1848190aa8d4ccc97f434b8 completed April 28, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6712b37c8190b2ff58713f1b45ee completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67a1c82881909f71e24139576c31 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68583248819085f413692d35c1b9 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:01 p.m.