Triple
T25369350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armani Beauty |
E632888
|
entity |
| Predicate | marketingAssociation |
P159115
|
FINISHED |
| Object | red carpet events |
—
|
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: red carpet events | Statement: [Armani Beauty, marketingAssociation, red carpet events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingAssociation Context triple: [Armani Beauty, marketingAssociation, red carpet events]
-
A.
marketingOrganization
Indicates that one entity serves as the marketing organization responsible for promoting, advertising, or managing the market presence of another entity.
-
B.
partnerAffiliation
Indicates that two entities are formally associated as partners within an organization, project, or collaborative relationship.
-
C.
catalogueAssociation
Indicates an association between an entity and a catalogue, such as inclusion, listing, or reference within that catalogue.
-
D.
sponsorAssociatedWith
Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting another entity.
-
E.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
- F. None of above. chosen
Provenance (4 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_69f4a110e8148190883924cfb6b242c4 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:38 p.m.