Triple
T15890831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eteri |
E385312
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Eteri_(character) |
E385312
|
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: Eteri_(character) | Statement: [Eteri, hasCharacter, Eteri_(character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eteri_(character) Context triple: [Eteri, hasCharacter, Eteri_(character)]
-
A.
Eteri
chosen
Eteri is a poetic work by the Georgian writer Vazha-Pshavela, known for its exploration of folk themes and national identity.
-
B.
Elena Kurakina
Elena Kurakina was a Russian noblewoman of the influential Kurakin family, connected by birth to the prominent Dolgorukov princely line.
-
C.
Serafima
Serafima is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
D.
Elena Solovey
Elena Solovey is a Russian-American actress known for her work in Soviet cinema and later in international films, including a notable role in the drama "The Immigrant."
-
E.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561e5ac481908ead7de3140c769d |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb047b6248190b6c11ef20636f50f |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.