Triple
T23185168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susette Kelo |
E579570
|
entity |
| Predicate | hasNotableColorAssociation |
P37838
|
FINISHED |
| Object | pink house |
—
|
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: pink house | Statement: [Susette Kelo, hasNotableColorAssociation, pink house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableColorAssociation Context triple: [Susette Kelo, hasNotableColorAssociation, pink house]
-
A.
notableColor
chosen
Indicates that an entity is characteristically or prominently associated with a particular color.
-
B.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
avoidsColorsOf
Indicates that one entity deliberately refrains from using, displaying, or interacting with the colors associated with another entity.
-
D.
colorHasMeaning
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
E.
hasNotableBrandAssociation
Indicates that there is a significant, recognizable, or influential brand linked or connected to the subject 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f7230208190820acf52f537b3ff |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:05 p.m.