Triple

T17990678
Position Surface form Disambiguated ID Type / Status
Subject The Purity of Vengeance E430361 entity
Predicate originalLanguage P15 FINISHED
Object Danish 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: Danish | Statement: [The Purity of Vengeance, originalLanguage, Danish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish
Context triple: [The Purity of Vengeance, originalLanguage, Danish]
  • A. Danish chosen
    Danish is a North Germanic language primarily spoken in Denmark and used as the official language of the country.
  • B. DANSKE
    DANSKE is the stock ticker symbol for Danske Bank, a major Nordic financial services group headquartered in Denmark.
  • C. Danish Days
    Danish Days is an annual cultural festival in Solvang, California that celebrates the town’s Danish heritage with traditional food, music, dancing, and parades.
  • D. Dybbøl
    Dybbøl is a historic village in southern Denmark best known as the site of major battles during the Second Schleswig War, particularly the 1864 Battle of Dybbøl.
  • E. Danish Canadians
    Danish Canadians are Canadian residents and citizens of Danish ancestry who contribute to the country’s cultural mosaic through traditions, language, and community organizations rooted in Denmark.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29f127c81908b0c4cb3787e002c completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.