Triple
T4536828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George (magazine) |
E107425
|
entity |
| Predicate | coverDesignStyle |
P1529
|
FINISHED |
| Object | fashion-style photography |
—
|
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: fashion-style photography | Statement: [George (magazine), coverDesignStyle, fashion-style photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverDesignStyle Context triple: [George (magazine), coverDesignStyle, fashion-style photography]
-
A.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
B.
frontDesign
Indicates that one entity serves as the primary or visible front-facing design or appearance of another entity.
-
C.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another entity.
-
D.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
designTrend
Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.