Triple
T29842469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrovetide Fair in Saint Petersburg |
E757837
|
entity |
| Predicate | depictedInWorkType |
P115247
|
FINISHED |
| Object | ballet |
—
|
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: ballet | Statement: [Shrovetide Fair in Saint Petersburg, depictedInWorkType, ballet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedInWorkType Context triple: [Shrovetide Fair in Saint Petersburg, depictedInWorkType, ballet]
-
A.
portrayedInWorkType
chosen
Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
-
B.
depictsAuthorOf
Indicates that one entity visually represents or portrays the person who is the author of another entity.
-
C.
depictedInAuthor
Indicates that an author is visually represented or portrayed within a particular work or depiction.
-
D.
depictsLiteraryWork
Indicates that one entity visually represents, illustrates, or portrays the content, scenes, or themes of a specific literary work.
-
E.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
- 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_69f224593f6c81908785a560fe659f58 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 5:40 p.m.