Triple

T23515599
Position Surface form Disambiguated ID Type / Status
Subject KAOS E574353 entity
Predicate hasMember P10 FINISHED
Object Shtarker
Shtarker is a henchman and comic villain character associated with the evil organization KAOS in the "Get Smart" spy-comedy franchise.
 E1591568 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: Shtarker | Statement: [KAOS, hasMember, Shtarker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shtarker
Context triple: [KAOS, hasMember, Shtarker]
  • A. Stankar
    Stankar is a central baritone role in Giuseppe Verdi’s opera *Stiffelio*, portrayed as a stern, honor-obsessed father whose actions drive much of the drama.
  • B. Shteiner
    Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
  • C. Štitar
    Štitar is a village in western Serbia that forms part of the rural municipality of Bogatić in the Mačva region.
  • D. Straka
    Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
  • E. Shenkman
    Shenkman is a surname most notably associated with American actor Ben Shenkman, known for his work in film, television, and theater.
  • 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: Shtarker
Triple: [KAOS, hasMember, Shtarker]
Generated description
Shtarker is a henchman and comic villain character associated with the evil organization KAOS in the "Get Smart" spy-comedy franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shtarker
Target entity description: Shtarker is a henchman and comic villain character associated with the evil organization KAOS in the "Get Smart" spy-comedy franchise.
  • A. Stankar
    Stankar is a central baritone role in Giuseppe Verdi’s opera *Stiffelio*, portrayed as a stern, honor-obsessed father whose actions drive much of the drama.
  • B. Shteiner
    Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
  • C. Štitar
    Štitar is a village in western Serbia that forms part of the rural municipality of Bogatić in the Mačva region.
  • D. Straka
    Straka is a Czech surname most notably associated with former professional ice hockey player Martin Straka.
  • E. Shenkman
    Shenkman is a surname most notably associated with American actor Ben Shenkman, known for his work in film, television, and theater.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa81ab4c8190b85c8f80754020ea completed April 29, 2026, 6:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf4acf7081909ea152eb4a634bab completed May 19, 2026, 10:08 p.m.
NEDg Description generation batch_6a0ce210d8108190a6338389fcefb5a4 completed May 19, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0ce2bffdd8819081ef20b90bc0ae7b completed May 19, 2026, 10:22 p.m.
Created at: April 17, 2026, 6:08 p.m.