Triple
T2694372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Vuitton |
E58476
|
entity |
| Predicate | hasCreativeField |
P9512
|
FINISHED |
| Object | haute couture |
—
|
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: haute couture | Statement: [Louis Vuitton, hasCreativeField, haute couture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreativeField Context triple: [Louis Vuitton, hasCreativeField, haute couture]
-
A.
hasCreativeLeader
Indicates that an entity is led or directed in its creative aspects by a specific person or organization.
-
B.
hasArtisticDiscipline
chosen
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
C.
hasCreation
Indicates a relationship where one entity is the creator or originator of another entity.
-
D.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
-
E.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda10a9bc81908473d02ab9116cef |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.