Triple
T3549737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniil Aleksandrovich of Moscow |
E75081
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Daniil |
E189377
|
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: Daniil | Statement: [Daniil Aleksandrovich of Moscow, givenName, Daniil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniil Context triple: [Daniil Aleksandrovich of Moscow, givenName, Daniil]
-
A.
Dimitri
Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
-
B.
Ilya
Ilya is a common Russian given name, notably borne by star ice hockey player Ilya Kovalchuk.
-
C.
Daniil Granin
chosen
Daniil Granin was a prominent Soviet and Russian writer and public figure known for his novels about World War II and moral responsibility in science and society.
-
D.
Vitaly
Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
E.
Pavel
Pavel is a Slavic given name, equivalent to the English name Paul.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd38c8c8190a4591689ad57c998 |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c5e461c8190b4c7f728e2d8632c |
completed | March 21, 2026, 8:52 a.m. |
Created at: March 8, 2026, 3:20 p.m.