Triple
T17779838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollen from Hazelnut |
E443865
|
entity |
| Predicate | viewerExperience |
P63265
|
FINISHED |
| Object | immersive yet quiet |
—
|
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: immersive yet quiet | Statement: [Pollen from Hazelnut, viewerExperience, immersive yet quiet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewerExperience Context triple: [Pollen from Hazelnut, viewerExperience, immersive yet quiet]
-
A.
intendedViewerExperience
chosen
Indicates the type or quality of experience that a piece of content is designed or expected to provide to its viewers.
-
B.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
C.
readerExperience
Indicates the level or nature of engagement, understanding, or impact that a text or content has on its reader.
-
D.
fanExperienceFeature
Indicates a feature or aspect specifically designed to shape, enhance, or characterize a fan’s overall experience.
-
E.
viewOnReality
Indicates a subject’s overarching perspective, interpretation, or conceptual stance regarding the nature of 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48720734c819085ebe37065b8c8f3 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.