Triple
T10422907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleksandra |
E245703
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Lesia |
E245703
|
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: Lesia | Statement: [Oleksandra, shortForm, Lesia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesia Context triple: [Oleksandra, shortForm, Lesia]
-
A.
Kateryna
Kateryna is a feminine given name, commonly used in Slavic countries, that is a variant of the name Katherine.
-
B.
Oleksandra
chosen
Oleksandra is a feminine given name commonly used in Slavic countries, particularly Ukraine, and is the female form of Oleksandr (Alexander).
-
C.
Maria Demchenko
Maria Demchenko was a celebrated Soviet agricultural worker renowned for her record-breaking labor productivity and iconic role in promoting the Stakhanovite movement.
-
D.
Olha Kosach-Krynytska
Olha Kosach-Krynytska was a Ukrainian writer, translator, and cultural activist from the prominent Kosach literary family, known for her contributions to Ukrainian literature and national revival.
-
E.
Lyudmila
Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2de4d48190aee65b3f6ec3cc48 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f8a5b00819080c303bb0fc82f5a |
completed | April 10, 2026, 6:58 a.m. |
Created at: April 6, 2026, 12:12 p.m.