Triple
T30677202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billionaire Boys Club Ice Cream |
E780945
|
entity |
| Predicate | hasQualityPositioning |
P161527
|
FINISHED |
| Object | premium |
—
|
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: premium | Statement: [Billionaire Boys Club Ice Cream, hasQualityPositioning, premium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQualityPositioning Context triple: [Billionaire Boys Club Ice Cream, hasQualityPositioning, premium]
-
A.
hasPositioning
Indicates that one entity occupies, is arranged in, or is assigned a specific spatial or relative position with respect to another entity or reference frame.
-
B.
hasLuxuryPositioning
chosen
Indicates that an entity is positioned or marketed as a premium, high-end, or luxury offering relative to alternatives.
-
C.
hasTargetMarketPositioning
Indicates the specific market segment and competitive position that an offering is intended to occupy relative to alternatives.
-
D.
hasQualityModel
Indicates that an entity is associated with or characterized by a specific quality model.
-
E.
hasQualifying
Indicates that one entity possesses or meets a specific condition, attribute, or criterion that qualifies it in relation to another entity or context.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b19963c81908cf2839cbf1fbf1c |
completed | May 2, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:32 p.m.