Triple
T27949825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folklore era |
E703390
|
entity |
| Predicate | associatedWithFashion |
P202554
|
FINISHED |
| Object | cardigans |
—
|
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: cardigans | Statement: [Folklore era, associatedWithFashion, cardigans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFashion Context triple: [Folklore era, associatedWithFashion, cardigans]
-
A.
fashionIndustryInvolvement
Indicates involvement or participation of an entity in activities, roles, or operations related to the fashion industry.
-
B.
fashionLabel
Indicates that an entity is a fashion brand or label associated with the design, production, or marketing of clothing or accessories.
-
C.
fashionStyle
Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
-
D.
fashionCategory
Indicates the classification of an item into a specific fashion-related category or type (e.g., clothing, footwear, accessories).
-
E.
fashionFunction
Indicates a relationship where something serves a particular role, purpose, or use within the context of fashion (such as aesthetic, practical, cultural, or symbolic function).
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_6a0091ad8b8c8190b0f00a3358e59bc1 |
completed | May 10, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_6a008f2813ec81909a54c2dfa5c75dc7 |
completed | May 10, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_6a0091ac9ff08190b635eac6aa3f6128 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 27, 2026, 7:24 p.m.