Triple
T28822306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Reagan |
E727801
|
entity |
| Predicate | primaryColorPaletteAssociation |
P17891
|
FINISHED |
| Object | muted, noir-inspired cinematography |
—
|
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, noir-inspired cinematography | Statement: [Tom Reagan, primaryColorPaletteAssociation, muted, noir-inspired cinematography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryColorPaletteAssociation Context triple: [Tom Reagan, primaryColorPaletteAssociation, muted, noir-inspired cinematography]
-
A.
primaryColorPalette
chosen
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
B.
primaryThemeAssociation
Indicates that one entity is the main or central theme associated with another entity.
-
C.
primaryColour
Indicates that one entity is the main or dominant color characteristic of another entity.
-
D.
primaryColorProduction
Indicates that an entity is responsible for producing or generating a primary color (such as red, blue, or yellow) in some context.
-
E.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 28, 2026, 6:35 a.m.