Triple

T21788374
Position Surface form Disambiguated ID Type / Status
Subject True Patriot Love E537898 entity
Predicate publisher P29 FINISHED
Object Viking Canada NE NERFINISHED

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 Canada | Statement: [True Patriot Love, publisher, Viking Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viking Canada
Context triple: [True Patriot Love, publisher, Viking Canada]
  • A. Viking Canada chosen
    Viking Canada is a Canadian publishing imprint known for releasing a wide range of literary and commercial titles, including notable contemporary fiction and non-fiction works.
  • B. Vikingen
    Vikingen is a notable literary work by Swedish writer, historian, and philosopher Erik Gustaf Geijer.
  • C. Vikingskipet
    Vikingskipet is an indoor speed skating arena in Hamar, Norway, renowned for hosting major international competitions including events at the 1994 Winter Olympics.
  • D. The Vikings
    The Vikings is the nickname of the Royal Anglian Regiment, an infantry regiment of the British Army.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621dfa3c8190921bfccbff7331f2 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.