Triple
T10196327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Star |
E238170
|
entity |
| Predicate | brandingPlacement |
P48677
|
FINISHED |
| Object | star logo on lateral side |
—
|
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: star logo on lateral side | Statement: [One Star, brandingPlacement, star logo on lateral side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingPlacement Context triple: [One Star, brandingPlacement, star logo on lateral side]
-
A.
logoPlacement
chosen
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
B.
brandingMedium
Indicates the medium or channel through which branding or brand-related communication is delivered.
-
C.
brandIntegration
Indicates the incorporation of a brand’s identity, products, or messaging into another medium, experience, or content in a coordinated and often seamless way.
-
D.
sponsorBrandType
Indicates the type or category of brand that is acting as a sponsor in the relationship.
-
E.
brandPositioning
Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedcaf6688190938d8e56e29493eb |
completed | April 2, 2026, 4:17 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.