Triple
T32691848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabal Gurung |
E835878
|
entity |
| Predicate | showcasesAt |
P174797
|
FINISHED |
| Object | New York 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: New York Fashion Week | Statement: [Prabal Gurung, showcasesAt, New York Fashion Week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showcasesAt Context triple: [Prabal Gurung, showcasesAt, New York Fashion Week]
-
A.
exhibitFor
Indicates a relationship where something is displayed, presented, or shown for the benefit, use, or consideration of a particular audience, purpose, or entity.
-
B.
helpedShowcase
Indicates that one entity actively assisted in presenting, promoting, or displaying another entity to an audience.
-
C.
showcasesRegion
Indicates that something presents, highlights, or features a particular geographic region.
-
D.
exhibitsBeyond
Indicates that one entity displays or demonstrates something to a degree that surpasses or goes further than another reference point or standard.
-
E.
hasExhibitsFrom
Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c81ac5f48190bd116a01a665229f |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:10 a.m.