Triple
T1825248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alekseyevich |
E40637
|
entity |
| Predicate | relatedGivenName |
P20785
|
FINISHED |
| Object | Alexei |
E60595
|
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: Alexei | Statement: [Alekseyevich, relatedGivenName, Alexei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexei Context triple: [Alekseyevich, relatedGivenName, Alexei]
-
A.
Alexey
chosen
Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
-
B.
Aleksandr
Aleksandr is a common Russian male given name of Greek origin, equivalent to Alexander in English.
-
C.
Mikhail
Mikhail is a common Russian male given name, famously borne by Soviet leader Mikhail Gorbachev.
-
D.
Pyotr
Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
-
E.
Nikolay
Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0003d308190a024f8c03c5f5dad |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de68338c8190bf28d0a51716623a |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 4, 2026, 7:32 p.m.