Triple
T25369351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armani Beauty |
E632888
|
entity |
| Predicate | marketingAssociation |
P159115
|
FINISHED |
| Object | fashion shows |
—
|
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: fashion shows | Statement: [Armani Beauty, marketingAssociation, fashion shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingAssociation Context triple: [Armani Beauty, marketingAssociation, fashion shows]
-
A.
marketingAssociation
chosen
Indicates a relationship where one entity is involved in promoting, advertising, or otherwise marketing another entity’s products, services, or brand.
-
B.
marketingOrganization
Indicates that one entity serves as the marketing organization responsible for promoting, advertising, or managing the market presence of another entity.
-
C.
partnerAffiliation
Indicates that two entities are formally associated as partners within an organization, project, or collaborative relationship.
-
D.
catalogueAssociation
Indicates an association between an entity and a catalogue, such as inclusion, listing, or reference within that catalogue.
-
E.
sponsorAssociatedWith
Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:38 p.m.