Triple

T2433115
Position Surface form Disambiguated ID Type / Status
Subject Wolfenstein: The Old Blood E52891 entity
Predicate developer P73 FINISHED
Object MachineGames E52887 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: MachineGames | Statement: [Wolfenstein: The Old Blood, developer, MachineGames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MachineGames
Context triple: [Wolfenstein: The Old Blood, developer, MachineGames]
  • A. MachineGames chosen
    MachineGames is a Swedish video game developer best known for revitalizing the Wolfenstein franchise with critically acclaimed first-person shooters.
  • B. Home Game
    Home Game is a non-fiction book by former NHL goaltender and author Ken Dryden that reflects on the culture, meaning, and personal impact of hockey in Canada.
  • C. Jeux
    Jeux is a short, impressionistic ballet by Claude Debussy, composed in 1912–1913 and known for its innovative orchestration and subtle, shifting harmonies.
  • D. Gra
    Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
  • E. Gears of War series
    The Gears of War series is a popular third-person shooter franchise set in a gritty sci-fi world where heavily armed soldiers battle monstrous creatures using cover-based combat and iconic weapons like the Lancer rifle.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9caaa208190994767f07aebd2b9 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69af178a0f0c81909f6629f3fed76e2c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:43 p.m.