Triple
T4002568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanta |
E89447
|
entity |
| Predicate | hasAdvertisingTheme |
P48415
|
FINISHED |
| Object | playfulness |
—
|
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: playfulness | Statement: [Fanta, hasAdvertisingTheme, playfulness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdvertisingTheme Context triple: [Fanta, hasAdvertisingTheme, playfulness]
-
A.
hasMarketingTheme
chosen
Indicates that an entity is associated with or characterized by a particular marketing theme or campaign concept.
-
B.
usesAdvertisingModel
Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
-
C.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
D.
hasThemeConnection
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
-
E.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.