Triple

T10099783
Position Surface form Disambiguated ID Type / Status
Subject Viktor the Viking E215968 entity
Predicate theme 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: [Viktor the Viking, theme, Viking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking
Context triple: [Viktor the Viking, theme, Viking]
  • A. Viking
    "Viking" is a Russian historical epic film depicting the rise of Prince Vladimir and the Christianization of Kievan Rus.
  • B. Viking
    Viking is a prominent American publishing imprint known for releasing influential fiction and nonfiction titles, including many literary classics and bestsellers.
  • C. Viking
    Viking is a tire brand owned by Continental AG, known for producing reliable and affordable tires for passenger cars and light commercial vehicles.
  • D. Viking chosen
    The Viking is a Norse seafaring warrior figure commonly used as a symbol of strength and bravery, including as a school mascot.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd07d686481908d9bb91392954474 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbeef9a08190a2267f6c7de81170 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:02 p.m.