Triple
T8075409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edie Sedgwick |
E188477
|
entity |
| Predicate | styleIconFor |
P30078
|
FINISHED |
| Object | 1960s mod fashion |
—
|
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: 1960s mod fashion | Statement: [Edie Sedgwick, styleIconFor, 1960s mod fashion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleIconFor Context triple: [Edie Sedgwick, styleIconFor, 1960s mod fashion]
-
A.
iconOf
chosen
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
B.
styleHeldBy
Indicates that a particular style, design, or aesthetic is possessed, used, or embodied by a specific entity.
-
C.
styledAs
Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
-
D.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
E.
styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404c513c8190af54d6d6b6d1a81d |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:28 p.m.