Triple

T8625265
Position Surface form Disambiguated ID Type / Status
Subject The Diamond Arm E204265 entity
Predicate mainCharacter P1183 FINISHED
Object Lyolik
Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
 E747547 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: Lyolik | Statement: [The Diamond Arm, mainCharacter, Lyolik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyolik
Context triple: [The Diamond Arm, mainCharacter, Lyolik]
  • A. Terioki
    Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
  • B. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • C. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • 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: Lyolik
Triple: [The Diamond Arm, mainCharacter, Lyolik]
Generated description
Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyolik
Target entity description: Lyolik is a comedic criminal character from the classic Soviet film "The Diamond Arm," known for his bumbling attempts at carrying out a smuggling scheme.
  • A. Terioki
    Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
  • B. Sijjin
    Sijjin is an Islamic term referring to a record or register in which the deeds of the wicked are inscribed and a place associated with severe punishment in the Hereafter.
  • C. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472a07908190a2368975459543f9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbf03c688190a989f16675f6e8a6 completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebdd3ae908190bc4108b766585cbc completed April 2, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69cebf1825008190a97cd2df10f8e406 completed April 2, 2026, 7:10 p.m.
Created at: March 30, 2026, 6:26 p.m.