Triple
T17314097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self-portrait with frill |
E420375
|
entity |
| Predicate | depictsClothingDetail |
P104989
|
FINISHED |
| Object | frill |
—
|
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: frill | Statement: [Self-portrait with frill, depictsClothingDetail, frill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsClothingDetail Context triple: [Self-portrait with frill, depictsClothingDetail, frill]
-
A.
depicts costume
chosen
Indicates that one entity visually represents or portrays the clothing or outfit associated with another entity.
-
B.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
C.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
D.
depictsAttribute
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
-
E.
clothingFeature
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399b4dcc8190996d79d04ba88795 |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.