Triple
T12236150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Shchukin |
E291596
|
entity |
| Predicate | artCollectionDisplayedAt |
P43194
|
FINISHED |
| Object | his Moscow mansion |
—
|
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: his Moscow mansion | Statement: [Sergei Shchukin, artCollectionDisplayedAt, his Moscow mansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artCollectionDisplayedAt Context triple: [Sergei Shchukin, artCollectionDisplayedAt, his Moscow mansion]
-
A.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
-
B.
artCollectionFocus
Indicates that an art collection is primarily centered around or devoted to a particular theme, style, period, subject, or type of artwork.
-
C.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
-
D.
artPresence
chosen
Indicates that some form of art is present, exists, or is featured in relation to a given context or entity.
-
E.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.