Triple
T26865220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dries Van Noten |
E676445
|
entity |
| Predicate | showsAt |
P3021
|
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: [Dries Van Noten, showsAt, Paris Fashion Week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsAt Context triple: [Dries Van Noten, showsAt, Paris Fashion Week]
-
A.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
B.
presentsAt
Indicates that one entity delivers or gives a presentation, talk, or performance at a particular event, venue, or occasion.
-
C.
displayedAt
chosen
Indicates that one entity is presented or exhibited at a particular location, venue, or event.
-
D.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
E.
presentedIn
Indicates that something is shown, displayed, or formally introduced within a particular context, medium, event, or setting.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 5:28 a.m.