Triple
T36957892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doom game engine |
E914234
|
entity |
| Predicate | graphicsTechnique |
P81690
|
FINISHED |
| Object | 2.5D rendering |
—
|
LITERAL 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: 2.5D rendering | Statement: [Doom game engine, graphicsTechnique, 2.5D rendering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsTechnique Context triple: [Doom game engine, graphicsTechnique, 2.5D rendering]
-
A.
renderingTechnology
chosen
Indicates the graphics or visualization method used to generate the visual representation of an object, scene, or interface.
-
B.
specialEffectsTechnique
Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
-
C.
graphicsAPI
Indicates a relationship where one entity uses, supports, or is implemented with a particular graphics application programming interface (graphicsAPI).
-
D.
animationTechnology
Indicates a relationship where one entity uses, is created with, or is characterized by a particular animation technology.
-
E.
graphicsEngine
Indicates a relationship where a system, component, or application uses or is associated with a particular graphics engine to render or process visual content.
- F. None of above.
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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.