Triple
T5622486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aphrodite Anadyomene |
E147640
|
entity |
| Predicate | notablyDepictedIn |
P20085
|
FINISHED |
| Object | lost painting by Apelles |
—
|
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: lost painting by Apelles | Statement: [Aphrodite Anadyomene, notablyDepictedIn, lost painting by Apelles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablyDepictedIn Context triple: [Aphrodite Anadyomene, notablyDepictedIn, lost painting by Apelles]
-
A.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
B.
notableDepictionBy
chosen
Indicates that an entity is significantly portrayed or represented by a particular creator, work, or medium.
-
C.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
D.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
E.
depictsNotablePerson
Indicates that one entity visually represents or portrays a person who is considered notable or significant.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022133eec819086acb04864dde5ee |
completed | March 22, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69c01b1d4b108190846ce586dc783acf |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:40 p.m.