Triple
T32691685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Bui (brand) |
E835874
|
entity |
| Predicate | hasRunwayShowsIn |
P51480
|
FINISHED |
| Object | Paris Fashion Week |
—
|
NE NERFINISHED |
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: Paris Fashion Week | Statement: [Barbara Bui (brand), hasRunwayShowsIn, Paris Fashion Week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunwayShowsIn Context triple: [Barbara Bui (brand), hasRunwayShowsIn, Paris Fashion Week]
-
A.
hasFashionShow
chosen
Indicates that an entity organizes, hosts, or features a fashion show as an event or activity.
-
B.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
-
C.
hasOwnShow
Indicates that an entity is the primary host or central figure of a dedicated show or program associated with them.
-
D.
hasPublicPerformances
Indicates that an entity conducts or is involved in performances that are open and accessible to the general public.
-
E.
hasRedCarpetEvent
Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:10 a.m.