Triple
T29020361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duff Lite |
E737434
|
entity |
| Predicate | colorInDepictions |
P141026
|
FINISHED |
| Object | golden |
—
|
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: golden | Statement: [Duff Lite, colorInDepictions, golden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorInDepictions Context triple: [Duff Lite, colorInDepictions, golden]
-
A.
colorInIconography
chosen
Indicates that a particular color is used to represent or symbolize an entity within a specific iconographic or symbolic tradition.
-
B.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
-
D.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
E.
colorMarkings
Indicates that one entity has specific color-based markings or patterns in relation to 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 9:48 a.m.