Triple

T11290441
Position Surface form Disambiguated ID Type / Status
Subject Wolfenstein: The Old Blood E267309 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. Game
    Game is an American rapper, songwriter, and actor known for his role in revitalizing West Coast hip hop in the mid-2000s.
  • D. My.Games
    My.Games is an international video game company and publisher known for developing and distributing online, mobile, and PC games across global markets.
  • E. Jeux
    Jeux is a short, impressionistic ballet by Claude Debussy, composed in 1912–1913 and known for its innovative orchestration and subtle, shifting harmonies.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98875a08190b8509fe55e49d52d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55639a5ec8190b979d5a280397f98 completed April 19, 2026, 10:24 p.m.
Created at: April 8, 2026, 9:32 p.m.