Triple
T20551232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monolith Productions |
E504600
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | LithTech engine |
—
|
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: LithTech engine | Statement: [Monolith Productions, usesTechnology, LithTech engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LithTech engine Context triple: [Monolith Productions, usesTechnology, LithTech engine]
-
A.
LithTech
chosen
LithTech is a proprietary 3D game engine originally developed by Monolith Productions and used to power numerous first-person shooters and action games.
-
B.
Aurora Engine
Aurora Engine is a role-playing game engine developed by BioWare, best known for powering classic titles like Neverwinter Nights.
-
C.
Tempest Engine
Tempest Engine is Sony’s dedicated 3D audio processing hardware used in the PlayStation 5 to deliver immersive, spatial sound in games.
-
D.
Emotion Engine
Emotion Engine is the custom central processing unit developed by Sony and Toshiba that powered the PlayStation 2’s graphics and gameplay capabilities.
-
E.
Blam! engine
The Blam! engine is the proprietary game engine developed by Bungie that powered the early Halo titles, enabling their large-scale environments, AI, and physics.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d8b55081909c3e3e972aff846d |
completed | April 20, 2026, 10:16 p.m. |
Created at: April 16, 2026, 11:38 a.m.