Triple
T10445293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hercule Poirot film series (Kenneth Branagh) |
E246269
|
entity |
| Predicate | notableVisualStyle |
P46274
|
FINISHED |
| Object | sumptuous production design |
—
|
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: sumptuous production design | Statement: [Hercule Poirot film series (Kenneth Branagh), notableVisualStyle, sumptuous production design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVisualStyle Context triple: [Hercule Poirot film series (Kenneth Branagh), notableVisualStyle, sumptuous production design]
-
A.
notableStyleFeature
chosen
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
B.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
C.
notableColor
Indicates that an entity is characteristically or prominently associated with a particular color.
-
D.
notableMode
Indicates that the subject is recognized for or distinguished by the specified mode, manner, or method of operation or expression.
-
E.
notableTheme
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:16 p.m.