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.