Triple
T10391344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman: Arkham Asylum |
E244898
|
entity |
| Predicate | gameEngine |
P26587
|
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: [Batman: Arkham Asylum, gameEngine, Unreal Engine 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unreal Engine 3 Context triple: [Batman: Arkham Asylum, gameEngine, 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.
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.
-
E.
UT4
UT4 is the fourth 8.2-meter Unit Telescope of ESO’s Very Large Telescope array at the Paranal Observatory in Chile.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b5b43081908641a5abfb08dc2b |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795b9974c819087340adc3622279e |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.