Triple
T2692694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Strike |
E58439
|
entity |
| Predicate | historicalColorScheme |
P29272
|
FINISHED |
| Object | green, red, white, and gold |
—
|
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: green, red, white, and gold | Statement: [Lucky Strike, historicalColorScheme, green, red, white, and gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalColorScheme Context triple: [Lucky Strike, historicalColorScheme, green, red, white, and gold]
-
A.
hasColourScheme
chosen
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
-
B.
hasTraditionalColors
Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
E.
notableColor
Indicates that an entity is characteristically or prominently associated with a particular color.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0dd97c81909a60cf200f57c087 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.