Triple
T3280683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavilion of Realism (1855) |
E68863
|
entity |
| Predicate | exhibitedTheme |
P5290
|
FINISHED |
| Object | contemporary life |
—
|
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: contemporary life | Statement: [Pavilion of Realism (1855), exhibitedTheme, contemporary life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exhibitedTheme Context triple: [Pavilion of Realism (1855), exhibitedTheme, contemporary life]
-
A.
exhibitTheme
chosen
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
B.
exhibitedWith
Indicates that two or more entities were presented or displayed together as part of the same exhibition or show.
-
C.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
D.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
E.
exhibition
Indicates that an entity is organizing, hosting, or serving as a public display or presentation of another entity (such as artworks, objects, or information).
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0166c8c81909cb0a580ef319be3 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.