Triple

T11172337
Position Surface form Disambiguated ID Type / Status
Subject Viking (film) E264304 entity
Predicate titleInRussian P23454 FINISHED
Object Викинг
«Викинг» — российский исторический фильм-эпос о становлении князя Владимира и крещении Руси, вышедший в 2016 году.
E264304 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: Викинг | Statement: [Viking (film), titleInRussian, Викинг]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Викинг
Context triple: [Viking (film), titleInRussian, Викинг]
  • A. Vikingen
    Vikingen is a notable literary work by Swedish writer, historian, and philosopher Erik Gustaf Geijer.
  • B. The Vikings
    The Vikings is a 1958 historical adventure film starring Kirk Douglas and Tony Curtis that dramatizes the violent exploits and rivalries of Norse warriors in medieval England.
  • C. Norseman
    Norseman is a remote gold-mining town in Western Australia's outback, known as a gateway to the Nullarbor Plain and the eastern states.
  • D. Vikingskipet
    Vikingskipet is an indoor speed skating arena in Hamar, Norway, renowned for hosting major international competitions including events at the 1994 Winter Olympics.
  • E. Viking
    Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
  • 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: Викинг
Triple: [Viking (film), titleInRussian, Викинг]
Generated description
«Викинг» — российский исторический фильм-эпос о становлении князя Владимира и крещении Руси, вышедший в 2016 году.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Викинг
Target entity description: «Викинг» — российский исторический фильм-эпос о становлении князя Владимира и крещении Руси, вышедший в 2016 году.
  • A. Vikingen
    Vikingen is a notable literary work by Swedish writer, historian, and philosopher Erik Gustaf Geijer.
  • B. The Vikings
    The Vikings is a 1958 historical adventure film starring Kirk Douglas and Tony Curtis that dramatizes the violent exploits and rivalries of Norse warriors in medieval England.
  • C. Norseman
    Norseman is a remote gold-mining town in Western Australia's outback, known as a gateway to the Nullarbor Plain and the eastern states.
  • D. Vikingskipet
    Vikingskipet is an indoor speed skating arena in Hamar, Norway, renowned for hosting major international competitions including events at the 1994 Winter Olympics.
  • E. Viking chosen
    "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • F. None of above.

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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
NEDg Description generation batch_69e48715bd2081908774d325db2b6dd5 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e4886c0da881909105b3a45e786ce9 completed April 19, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:29 p.m.