Triple
T33349113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Dijon |
E853882
|
entity |
| Predicate | roleInFashion |
P152154
|
FINISHED |
| Object | soundtrack curator for runway shows |
—
|
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: soundtrack curator for runway shows | Statement: [Honey Dijon, roleInFashion, soundtrack curator for runway shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFashion Context triple: [Honey Dijon, roleInFashion, soundtrack curator for runway shows]
-
A.
fashionLabelSpecialty
Indicates that a fashion label is particularly focused on, known for, or specialized in a specific type of product, style, or design niche.
-
B.
personHasNotableStyle
Indicates that a person is recognized for having a distinctive or noteworthy style.
-
C.
roleInBalmain
Indicates that an entity holds or has held a specific role or position within the Balmain fashion house or brand.
-
D.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
E.
fashionIndustryInvolvement
chosen
Indicates involvement or participation of an entity in activities, roles, or operations related to the fashion industry.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
Created at: May 1, 2026, 1:34 a.m.