Triple

T23348756
Position Surface form Disambiguated ID Type / Status
Subject Ivanov E591944 entity
Predicate hasCharacter P2308 FINISHED
Object Shabelsky
Shabelsky is a fictional character, likely from Russian literature, associated with the figure named Ivanov.
E1582046 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: Shabelsky | Statement: [Ivanov, hasCharacter, Shabelsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shabelsky
Context triple: [Ivanov, hasCharacter, Shabelsky]
  • A. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • B. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • C. Bronshteyn
    Bronshteyn is a variant spelling of the surname Bronstein, commonly found among people of Eastern European Jewish origin.
  • D. Trukhachevsky
    Trukhachevsky is a violinist who becomes closely involved with Pozdnyshev’s wife in Leo Tolstoy’s novella "The Kreutzer Sonata."
  • E. Kuznetsov
    Kuznetsov is a common Russian surname borne by numerous notable figures in fields such as politics, science, sports, and the arts.
  • 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: Shabelsky
Triple: [Ivanov, hasCharacter, Shabelsky]
Generated description
Shabelsky is a fictional character, likely from Russian literature, associated with the figure named Ivanov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shabelsky
Target entity description: Shabelsky is a fictional character, likely from Russian literature, associated with the figure named Ivanov.
  • A. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • B. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • C. Bronshteyn
    Bronshteyn is a variant spelling of the surname Bronstein, commonly found among people of Eastern European Jewish origin.
  • D. Trukhachevsky
    Trukhachevsky is a violinist who becomes closely involved with Pozdnyshev’s wife in Leo Tolstoy’s novella "The Kreutzer Sonata."
  • E. Kuznetsov
    Kuznetsov is a common Russian surname borne by numerous notable figures in fields such as politics, science, sports, and the arts.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cba927481908194b998075d522d completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c52f9ecc48190a8d5ae67566ea6ed completed May 19, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_6a0c536bb21481908524a8ffe3084ebb completed May 19, 2026, 12:11 p.m.
Created at: April 17, 2026, 5:19 p.m.