Triple
T23731563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serenity (color) |
E586421
|
entity |
| Predicate | colorPsychologyEffect |
P29804
|
FINISHED |
| Object | calming effect |
—
|
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: calming effect | Statement: [Serenity (color), colorPsychologyEffect, calming effect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorPsychologyEffect Context triple: [Serenity (color), colorPsychologyEffect, calming effect]
-
A.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
colorTheory
chosen
Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
-
D.
colorTreatment
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
E.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1baccf5b88190961a6e5e0e1407c7 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.