Triple
T32541790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night light |
E831731
|
entity |
| Predicate | appliesColorTone |
P80716
|
FINISHED |
| Object | warmer color tones |
—
|
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: warmer color tones | Statement: [Night light, appliesColorTone, warmer color tones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesColorTone Context triple: [Night light, appliesColorTone, warmer color tones]
-
A.
sceneTone
Indicates the overall emotional or atmospheric quality conveyed by a scene.
-
B.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
C.
colorTreatment
chosen
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
D.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
E.
toneContrastWith
Indicates that one entity’s tone differs noticeably from, and is contrasted against, the tone of another entity.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
Created at: May 1, 2026, 1:02 a.m.