Triple
T2522418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolce & Gabbana The One |
E55552
|
entity |
| Predicate | collectionMember |
P27891
|
FINISHED |
| Object | Dolce & Gabbana fragrance collection |
—
|
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: Dolce & Gabbana fragrance collection | Statement: [Dolce & Gabbana The One, collectionMember, Dolce & Gabbana fragrance collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionMember Context triple: [Dolce & Gabbana The One, collectionMember, Dolce & Gabbana fragrance collection]
-
A.
collectionRole
Indicates the specific function, responsibility, or position an entity holds within a collection or grouped set of items.
-
B.
partOfCollection
Indicates that an entity belongs to, or is included within, a larger collection or set.
-
C.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
D.
knownForCollectionOf
Indicates that one entity is recognized or notable specifically for its collection or assemblage of another type of entity.
-
E.
collectionRepository
Indicates a relationship where a repository is responsible for storing, managing, or providing access to a collection.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23895348190bb4dad6d7174893a |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.