Triple

T11251618
Position Surface form Disambiguated ID Type / Status
Subject Dishonored E266332 entity
Predicate engine P6068 FINISHED
Object Unreal Engine 3 E183360 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: Unreal Engine 3 | Statement: [Dishonored, engine, Unreal Engine 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unreal Engine 3
Context triple: [Dishonored, engine, Unreal Engine 3]
  • A. Unreal Engine chosen
    Unreal Engine is a widely used, high-performance game engine developed by Epic Games for creating 3D games, simulations, and real-time interactive experiences across multiple platforms.
  • B. Tempest Engine
    Tempest Engine is Sony’s dedicated 3D audio processing hardware used in the PlayStation 5 to deliver immersive, spatial sound in games.
  • C. Aurora Engine
    Aurora Engine is a role-playing game engine developed by BioWare, best known for powering classic titles like Neverwinter Nights.
  • D. LithTech
    LithTech is a proprietary 3D game engine originally developed by Monolith Productions and used to power numerous first-person shooters and action games.
  • E. CryEngine 3
    CryEngine 3 is a high-performance, real-time 3D game engine developed by Crytek, known for its advanced graphics, physics, and sandbox tools used to create visually intensive games.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603a1acc08190816db1ff13708e79 completed April 20, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:31 p.m.