Triple
T10366975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As If to Nothing |
E244276
|
entity |
| Predicate | hasAmbientElements |
P63398
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [As If to Nothing, hasAmbientElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbientElements Context triple: [As If to Nothing, hasAmbientElements, true]
-
A.
hasAmbience
Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
-
B.
hasImmersionElement
chosen
Indicates that something includes or is associated with an element that creates a sense of immersion or deep involvement in an experience.
-
C.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
D.
hasForegroundElement
Indicates that one element is positioned or perceived as being in the foreground relative to other elements in a scene or composition.
-
E.
hasSurrealElements
Indicates that something contains dreamlike, bizarre, or illogical features that depart from ordinary reality.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96fd6f081908f630a16106996d9 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon