Triple
T27174319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktoria Timofeyeva |
E683000
|
entity |
| Predicate | hasPartnershipInArt |
P150626
|
FINISHED |
| Object | Dmitri Vrubel |
E174565
|
NE 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: Dmitri Vrubel | Statement: [Viktoria Timofeyeva, hasPartnershipInArt, Dmitri Vrubel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartnershipInArt Context triple: [Viktoria Timofeyeva, hasPartnershipInArt, Dmitri Vrubel]
-
A.
hasArtCooperative
Indicates that an entity participates in, is affiliated with, or is a member of an art-focused cooperative organization.
-
B.
partnerInArtWorldWith
chosen
Indicates that two entities collaborate or are closely associated as partners within the art world context, such as in creation, curation, representation, or promotion of art.
-
C.
hasPartnershipRole
Indicates that an entity holds a specific role or function within a partnership relationship with another entity.
-
D.
partnerInArtisticCollaboration
Indicates that two or more entities are engaged together as partners in a shared artistic collaboration or creative project.
-
E.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
- F. None of above.
Provenance (4 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12bbbf95e8819098917fcf1eb163ea |
completed | May 24, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 9:25 a.m.