Triple
T33454715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Self-Portrait with Fur-Trimmed Robe |
E856740
|
entity |
| Predicate | depictsAgeOfSubject |
P148182
|
FINISHED |
| Object | about 28 years old |
—
|
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: about 28 years old | Statement: [Self-Portrait with Fur-Trimmed Robe, depictsAgeOfSubject, about 28 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsAgeOfSubject Context triple: [Self-Portrait with Fur-Trimmed Robe, depictsAgeOfSubject, about 28 years old]
-
A.
portraysFromAge
Indicates that one entity depicts another entity starting from a specified age of the depicted entity.
-
B.
artworkSubjectAge
chosen
Indicates that the relationship specifies the age of the subject depicted in an artwork.
-
C.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
D.
portrayalAge
Indicates the age or life stage at which an entity is depicted or represented in a given context.
-
E.
depictsAgeContrast
Indicates a relationship where one entity visually represents or highlights a contrast in age between two or more entities.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 1:37 a.m.