Triple

T20513543
Position Surface form Disambiguated ID Type / Status
Subject 38 Studios E503623 entity
Predicate acquired P2511 FINISHED
Object Big Huge Games 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: Big Huge Games | Statement: [38 Studios, acquired, Big Huge Games]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Huge Games
Context triple: [38 Studios, acquired, Big Huge Games]
  • A. Big Huge Games chosen
    Big Huge Games is an American video game developer best known for creating the real-time strategy title "Rise of Nations" and other strategy-focused games.
  • B. Mythic Entertainment
    Mythic Entertainment was an American video game developer best known for creating the pioneering MMORPG Dark Age of Camelot.
  • C. Massive Entertainment
    Massive Entertainment is a Swedish video game developer best known for creating the real-time strategy game "World in Conflict" and leading development on several titles in Tom Clancy’s The Division series.
  • D. Avalon Studios
    Avalon Studios is a prominent New Zealand film and television production facility known for its soundstages and post-production services.
  • E. Turbine Studios
    Turbine Studios is a film and television production company known for producing high-profile international projects such as the historical drama "Munich – The Edge of War."
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f4066908190a94724697fb8cdcb completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.