Triple
T7398822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulia Navalnaya |
E170693
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yulia |
E395351
|
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: Yulia | Statement: [Yulia Navalnaya, givenName, Yulia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yulia Context triple: [Yulia Navalnaya, givenName, Yulia]
-
A.
Yulia
chosen
Yulia is a feminine given name, commonly used in Slavic countries as a form of the name Julia.
-
B.
Svetlana
Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
-
C.
Irina
Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
-
D.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24c1c208190a3d11e816888760d |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ed378308190b925941415db596d |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:09 p.m.