Triple
T36471965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ÄM 21300 |
E898559
|
entity |
| Predicate | appliesToArtworkGenre |
P79352
|
FINISHED |
| Object | royal portrait |
—
|
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: royal portrait | Statement: [ÄM 21300, appliesToArtworkGenre, royal portrait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToArtworkGenre Context triple: [ÄM 21300, appliesToArtworkGenre, royal portrait]
-
A.
genreOfArtSupported
Indicates the type or category of art that an entity supports, promotes, or endorses.
-
B.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
C.
appliesToArtist
Indicates that something (such as a rule, condition, attribute, or action) is relevant or applicable specifically to an artist.
-
D.
inArtGenre
chosen
Indicates that an artwork or artistic work belongs to, is classified under, or is created in a particular art genre.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: May 3, 2026, 4:10 p.m.