Triple
T19357834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilia Slabunova |
E484195
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Emilia Slabunova |
—
|
NE NERFINISHED |
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: Emilia Slabunova | Statement: [Emilia Slabunova, name, Emilia Slabunova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emilia Slabunova Context triple: [Emilia Slabunova, name, Emilia Slabunova]
-
A.
Emilia Slabunova
chosen
Emilia Slabunova is a Russian liberal politician who has served as a prominent leader of the Yabloko party and an advocate for democratic reforms and human rights in Russia.
-
B.
Valentina Serova
Valentina Serova was the mother of renowned Russian painter Valentin Serov and a notable Russian pianist and composer in her own right.
-
C.
Helena Rozhenko
Helena Rozhenko is a human woman in the Star Trek universe best known as the adoptive mother of the Klingon Starfleet officer Worf.
-
D.
Lyubov Sokolova
Lyubov Sokolova was a prominent Soviet and Russian film and theater actress known for her character roles in many classic Soviet movies.
-
E.
Ludmila
Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190a1ec88190ba6d2d45174dc85a |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.