Triple
T6716328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Milles |
E153277
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Olga Milles |
E153277
|
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: Olga Milles | Statement: [Olga Milles, name, Olga Milles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Milles Context triple: [Olga Milles, name, Olga Milles]
-
A.
Olga Milles
chosen
Olga Milles was the wife of Swedish sculptor Carl Milles and is primarily known for her association with his life and artistic career.
-
B.
Olga Rist
Olga Rist was the mother of Chilean right-wing politician José Antonio Kast and a member of a German immigrant family in Chile.
-
C.
Olga Peters
Olga Peters is the American-born daughter of Svetlana Alliluyeva, who was the only daughter of Soviet leader Joseph Stalin.
-
D.
Nina Nevelson
Nina Nevelson was a daughter of Russian revolutionary leader Leon Trotsky, known primarily through her connection to his family and legacy.
-
E.
Nina Nevelson
Nina Nevelson is a relatively obscure figure whose public biographical or professional details are not well documented in widely available sources.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d125db3c8190aad28919226a16da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700993128819081614ccfa68d7320 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:07 p.m.