Triple
T20878634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Ticket contest |
E514085
|
entity |
| Predicate | marketingElement |
P85034
|
FINISHED |
| Object | promotion for Wonka chocolate bars |
—
|
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: promotion for Wonka chocolate bars | Statement: [Golden Ticket contest, marketingElement, promotion for Wonka chocolate bars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingElement Context triple: [Golden Ticket contest, marketingElement, promotion for Wonka chocolate bars]
-
A.
hasMarketingElement
chosen
Indicates that one entity includes, is associated with, or makes use of a particular marketing-related component or feature.
-
B.
marketingEmphasized
Indicates that a marketing effort or message is given special focus, prominence, or priority relative to other aspects or activities.
-
C.
marketingClaim
Indicates that an entity asserts or promotes a statement about a product, service, or offering for marketing or advertising purposes.
-
D.
marketedProducts
Indicates that an entity promotes, sells, or otherwise brings specific products to market.
-
E.
marketingUse
Indicates that something is used for marketing purposes, such as promotion, advertising, or brand communication.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.