Triple
T16669255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abesalom da Eteri |
E405062
|
entity |
| Predicate | titleCharacter |
P9202
|
FINISHED |
| Object | Eteri |
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 | Statement: [Abesalom da Eteri, titleCharacter, Eteri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eteri Context triple: [Abesalom da Eteri, titleCharacter, Eteri]
-
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.
Serafima
Serafima is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
D.
Irina
Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
-
E.
Gavriella
Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9fa3d081909457b1bdea1d96e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091901fd88190a3c0e4b133121a02 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:18 a.m.