Triple

T10194613
Position Surface form Disambiguated ID Type / Status
Subject Soldiers of Fortune E238128 entity
Predicate character P662 FINISHED
Object Dimidov
Dimidov is a fictional character from the action film "Soldiers of Fortune," portrayed as one of the key figures involved in the movie’s high-risk mercenary mission.
E848156 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: Dimidov | Statement: [Soldiers of Fortune, character, Dimidov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimidov
Context triple: [Soldiers of Fortune, character, Dimidov]
  • A. Sulimov
    Sulimov was the former name of the city now known as Cherkessk, the capital of Karachay-Cherkessia in southwestern Russia.
  • B. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • C. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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: Dimidov
Triple: [Soldiers of Fortune, character, Dimidov]
Generated description
Dimidov is a fictional character from the action film "Soldiers of Fortune," portrayed as one of the key figures involved in the movie’s high-risk mercenary mission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dimidov
Target entity description: Dimidov is a fictional character from the action film "Soldiers of Fortune," portrayed as one of the key figures involved in the movie’s high-risk mercenary mission.
  • A. Sulimov
    Sulimov was the former name of the city now known as Cherkessk, the capital of Karachay-Cherkessia in southwestern Russia.
  • B. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • C. Khokhlov
    Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32aef701c8190a01e632eb4fda1b9 completed April 6, 2026, 3:39 a.m.
NEDg Description generation batch_69d32b784dd48190be1e9ab9c36c224e completed April 6, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69d3481d882c8190be8653289b712d08 completed April 6, 2026, 5:43 a.m.
Created at: March 30, 2026, 9:13 p.m.