Triple
T6983714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauline Chapel |
E161908
|
entity |
| Predicate | hasArtworkTheme |
P15999
|
FINISHED |
| Object | life of Saint Paul |
—
|
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: life of Saint Paul | Statement: [Pauline Chapel, hasArtworkTheme, life of Saint Paul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtworkTheme Context triple: [Pauline Chapel, hasArtworkTheme, life of Saint Paul]
-
A.
artisticTheme
chosen
Indicates the central artistic subject, concept, or motif that characterizes or is expressed by a creative work.
-
B.
hasCoverArtTheme
Indicates that an item’s cover art visually represents or is characterized by a particular theme or motif.
-
C.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
D.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
E.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.