Triple
T8866731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wassily Kandinsky |
E211036
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anja Tschimiakin |
E211036
|
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: Anja Tschimiakin | Statement: [Wassily Kandinsky, spouse, Anja Tschimiakin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anja Tschimiakin Context triple: [Wassily Kandinsky, spouse, Anja Tschimiakin]
-
A.
Anja Tschimiakin
chosen
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
B.
Nadja Schildknecht
Nadja Schildknecht is a Swiss film producer and cultural entrepreneur best known as a co-founder and driving force behind the internationally recognized Zurich Film Festival.
-
C.
Anja Lechner
Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
-
D.
Angelika Schlunck
Angelika Schlunck is a German legal and political official who serves as a State Secretary in the Federal Ministry of Justice.
-
E.
Michaela Reichelt
Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6108530c819084559f4de669ce20 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd082bbe88190a207d39f9295735e |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:51 p.m.