Triple
T14035614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterozzi hill |
E337702
|
entity |
| Predicate | mainThemesOfPaintings |
P63655
|
FINISHED |
| Object | banquet scenes |
—
|
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: banquet scenes | Statement: [Monterozzi hill, mainThemesOfPaintings, banquet scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainThemesOfPaintings Context triple: [Monterozzi hill, mainThemesOfPaintings, banquet scenes]
-
A.
artworkSubjectHeading
chosen
Indicates that an artwork is associated with a specific subject heading used to categorize or describe its thematic content.
-
B.
culturalThemes
Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
-
C.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
D.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
E.
inspiredArtMovement
Indicates that one entity served as a creative or conceptual influence leading to the development or direction of an art movement in the other entity.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fac71188190a586049405f1071e |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.