Triple
T35500217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Not Adjust Your Set |
E1025976
|
entity |
| Predicate | partlyBlackAndWhite |
P168064
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Do Not Adjust Your Set, partlyBlackAndWhite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyBlackAndWhite Context triple: [Do Not Adjust Your Set, partlyBlackAndWhite, true]
-
A.
blackAndWhite
Indicates that something is presented or exists in only black and white, without any other colors.
-
B.
partiallyInColor
chosen
Indicates that an entity is only partly rendered or perceived in color, with some portions not in color.
-
C.
workBlackAndWhite
Indicates that the work is presented in black and white rather than in color.
-
D.
BlackAndWhiteDaysIncludes
Indicates that certain days are part of a defined set or schedule designated as "black and white days."
-
E.
partlyPrivate
Indicates that the relationship or action is only partially private, with some aspects restricted or hidden while others remain accessible or visible.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.