Triple

T2406322
Position Surface form Disambiguated ID Type / Status
Subject Svetlana Khodchenkova E50283 entity
Predicate notableWork P4 FINISHED
Object Viking
"Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
 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: Viking | Statement: [Svetlana Khodchenkova, notableWork, Viking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viking
Context triple: [Svetlana Khodchenkova, notableWork, Viking]
  • A. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • B. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • C. Vikings
    The Vikings are the athletic teams representing Cleveland State University in NCAA Division I sports.
  • D. Vikings
    The Vikings are the athletic teams representing Portland State University in NCAA Division I sports.
  • E. Vikings
    Vikings were seafaring Norse peoples from Scandinavia known for their raids, exploration, trade, and settlement across wide areas of Europe and the North Atlantic during the late eighth to early eleventh centuries.
  • 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: Viking
Triple: [Svetlana Khodchenkova, notableWork, Viking]
Generated description
"Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viking
Target entity description: "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • A. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • B. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • C. Vikings
    The Vikings are the athletic teams representing Cleveland State University in NCAA Division I sports.
  • D. Vikings
    The Vikings are the athletic teams representing Portland State University in NCAA Division I sports.
  • E. Vikings
    Vikings were seafaring Norse peoples from Scandinavia known for their raids, exploration, trade, and settlement across wide areas of Europe and the North Atlantic during the late eighth to early eleventh centuries.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb7b2d8f88190a12ce00000735fd6 completed March 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69aeb827504c8190bd458e79193d51cc completed March 9, 2026, 12:08 p.m.
Created at: March 4, 2026, 7:58 p.m.