Triple
T36481383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welcome to Hoxford |
E898823
|
entity |
| Predicate | hasVisualMood |
P126424
|
FINISHED |
| Object | muted color palette |
—
|
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: muted color palette | Statement: [Welcome to Hoxford, hasVisualMood, muted color palette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualMood Context triple: [Welcome to Hoxford, hasVisualMood, muted color palette]
-
A.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
B.
hasVisuals
chosen
Indicates that one entity includes, displays, or is associated with visual elements or imagery related to another entity.
-
C.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
D.
hasMoodSystem
Indicates that an entity possesses or is associated with a system responsible for managing or representing moods or emotional states.
-
E.
hasMoodCategory
Indicates that an entity is associated with a particular mood classification or emotional category.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: May 3, 2026, 4:10 p.m.