Triple
T16689323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yekaterina |
E405551
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Katerina |
E64628
|
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: Katerina | Statement: [Yekaterina, relatedName, Katerina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katerina Context triple: [Yekaterina, relatedName, Katerina]
-
A.
Caterina
chosen
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
B.
Isidora
Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
-
C.
Teodora
Teodora is a feminine given name commonly used in various languages, derived from the Greek name Theodora meaning "gift of God."
-
D.
Gavriella
Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
-
E.
Catarina
Catarina is a small Nicaraguan town and municipality known for its scenic views over Laguna de Apoyo and its traditional plant and craft markets.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51169b881909216ab1055752978 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:19 a.m.