Triple
T8094948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danilovich |
E188958
|
entity |
| Predicate | etymologicalComponent |
P453
|
FINISHED |
| Object | Danil |
E708996
|
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: Danil | Statement: [Danilovich, etymologicalComponent, Danil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danil Context triple: [Danilovich, etymologicalComponent, Danil]
-
A.
Danil
chosen
Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
-
B.
Vova
Vova is a common Russian diminutive form of the male given name Vladimir.
-
C.
Danilovich
Danilovich is a Russian patronymic indicating "son of Danilo," commonly used as a middle name in Slavic naming traditions.
-
D.
Pavel
Pavel is a Slavic given name, equivalent to the English name Paul.
-
E.
Timofei
Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb429089cc81909e4625f9cc7e305f |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe81763881909e2e67bb56f2aa83 |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:30 p.m.