Triple

T7215706
Position Surface form Disambiguated ID Type / Status
Subject Thunder the Vike E149526 entity
Predicate hasTheme P261 FINISHED
Object Viking E466036 NE FINISHED

How this triple was built (2 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: [Thunder the Vike, hasTheme, Viking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking
Context triple: [Thunder the Vike, hasTheme, Viking]
  • A. Viking
    "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • B. Viking chosen
    The Viking is a Norse seafaring warrior figure commonly used as a symbol of strength and bravery, including as a school mascot.
  • C. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • D. Viking
    Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
  • E. Vikes
    Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e98ebe1c81909891b4a1c2c3a4aa completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d381a7288190bbfdb8f1de6b5f05 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:53 p.m.