Triple
T29341317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GrimE |
E744043
|
entity |
| Predicate | supportsPerspective |
P92769
|
FINISHED |
| Object | 3D characters on pre-rendered backgrounds |
—
|
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: 3D characters on pre-rendered backgrounds | Statement: [GrimE, supportsPerspective, 3D characters on pre-rendered backgrounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPerspective Context triple: [GrimE, supportsPerspective, 3D characters on pre-rendered backgrounds]
-
A.
supports3DPerspective
chosen
Indicates that one entity provides or enables three-dimensional perspective viewing or rendering capabilities for another.
-
B.
supportsView
Indicates that one entity provides the capability to display, render, or present another entity in a particular view or format.
-
C.
supportsAspect
Indicates that one entity provides backing, justification, or reinforcement for a particular aspect, feature, or component of another entity.
-
D.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
E.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: April 28, 2026, 1:34 p.m.