Triple
T31657688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Shoulder |
E807900
|
entity |
| Predicate | marketingElementOf |
P85034
|
FINISHED |
| Object | Jennifer's Body promotional campaign |
—
|
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: Jennifer's Body promotional campaign | Statement: [Low Shoulder, marketingElementOf, Jennifer's Body promotional campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingElementOf Context triple: [Low Shoulder, marketingElementOf, Jennifer's Body promotional campaign]
-
A.
hasMarketingElement
chosen
Indicates that one entity includes, is associated with, or makes use of a particular marketing-related component or feature.
-
B.
marketedProducts
Indicates that an entity promotes, sells, or otherwise brings specific products to market.
-
C.
marketingEmphasized
Indicates that a marketing effort or message is given special focus, prominence, or priority relative to other aspects or activities.
-
D.
marketingClaim
Indicates that an entity asserts or promotes a statement about a product, service, or offering for marketing or advertising purposes.
-
E.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 30, 2026, 10:56 p.m.