Triple

T2321657
Position Surface form Disambiguated ID Type / Status
Subject Chelkash E48193 entity
Predicate hasTitleInRussian P23454 FINISHED
Object "Челкаш"
«Челкаш» — это рассказ Максима Горького о вольнолюбивом портовом воре и его драматическом столкновении с миром обывательских ценностей.
 E256203 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: "Челкаш" | Statement: [Chelkash, hasTitleInRussian, "Челкаш"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Челкаш"
Context triple: [Chelkash, hasTitleInRussian, "Челкаш"]
  • A. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • B. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • C. Sama Chakeva
    Sama Chakeva is a traditional folk festival of the Mithila region celebrating the bond between brothers and sisters through songs, rituals, and decorative clay idols of birds.
  • D. Stachka
    Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • E. Chenek
    Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
  • 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: "Челкаш"
Triple: [Chelkash, hasTitleInRussian, "Челкаш"]
Generated description
«Челкаш» — это рассказ Максима Горького о вольнолюбивом портовом воре и его драматическом столкновении с миром обывательских ценностей.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Челкаш"
Target entity description: «Челкаш» — это рассказ Максима Горького о вольнолюбивом портовом воре и его драматическом столкновении с миром обывательских ценностей.
  • A. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • B. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • C. Sama Chakeva
    Sama Chakeva is a traditional folk festival of the Mithila region celebrating the bond between brothers and sisters through songs, rituals, and decorative clay idols of birds.
  • D. Stachka
    Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • E. Chenek
    Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc6337e948190bb4860f7045914e1 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896911908190b53954dbf854cc18 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8d2dcc8081908d4274b2287ff2b8 completed March 9, 2026, 9:04 a.m.
NED2 Entity disambiguation (via description) batch_69ae8d786a648190acf0a14e0d4a120c completed March 9, 2026, 9:06 a.m.
Created at: March 4, 2026, 7:49 p.m.