Triple

T416751
Position Surface form Disambiguated ID Type / Status
Subject ZeniMax Media E8008 entity
Predicate subsidiary P258 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: [ZeniMax Media, subsidiary, MachineGames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MachineGames
Context triple: [ZeniMax Media, subsidiary, 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. Games Wide Open
    Games Wide Open is the official motto of the 2024 Summer Olympics in Paris, expressing themes of openness, inclusivity, and accessibility.
  • C. Call of Duty
    Call of Duty is a long-running and highly popular first-person shooter video game franchise known for its cinematic single-player campaigns and competitive multiplayer modes, often set in historical and modern military conflicts.
  • D. The Gamester
    The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
  • E. StarCraft
    StarCraft is a landmark real-time strategy video game franchise known for its competitive multiplayer, deep sci-fi lore, and major influence on esports, particularly in South Korea.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee8ea7b88190b4970b9c2877fbd8 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42543e3ec81908a56075495b1279f completed March 1, 2026, 11:38 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.