Triple

T16968313
Position Surface form Disambiguated ID Type / Status
Subject Toru E411599 entity
Predicate appearsAlongside P25756 FINISHED
Object The White Death E245736 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: The White Death | Statement: [Toru, appearsAlongside, The White Death]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The White Death
Context triple: [Toru, appearsAlongside, The White Death]
  • A. White Death chosen
    White Death is the infamous nickname of Finnish sniper Simo Häyhä, renowned for his extraordinary kill count during the Winter War between Finland and the Soviet Union.
  • B. Winter Kills
    Winter Kills is a 1979 darkly satirical political thriller film about a conspiracy surrounding the assassination of a U.S. president, noted for its star-studded cast and cult status.
  • C. Die Kälte
    Die Kälte is a semi-autobiographical prose work by Austrian writer Thomas Bernhard that reflects his characteristic bleak, incisive exploration of illness, isolation, and the absurdity of existence.
  • D. The White Plague
    The White Plague is a science fiction novel by Frank Herbert that explores the global and psychological consequences of a bioterrorist-engineered pandemic.
  • E. The Green Death
    The Green Death is a 1973 Doctor Who serial featuring the Third Doctor and companion Jo Grant, notable for its environmental themes and Jo’s emotional departure from the series.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a6f628819080db47285954729a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46f1d608190befe4dcbda086c03 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.