Triple
T15946758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkady Darell |
E386704
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arkady |
E739705
|
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: Arkady | Statement: [Arkady Darell, givenName, Arkady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkady Context triple: [Arkady Darell, givenName, Arkady]
-
A.
Arkady Mordvinov
Arkady Mordvinov was a prominent Soviet architect known for his influential role in shaping mid-20th-century Moscow’s monumental Stalinist architectural style.
-
B.
Konstantin Vershinin
Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
-
C.
Arkadi
chosen
Arkadi is a masculine given name of Armenian and Slavic origin, commonly used in Eastern Europe and the Caucasus.
-
D.
Alyosha Skvortsov
Alyosha Skvortsov is the young, idealistic Soviet soldier who serves as the central protagonist in the classic 1959 war film "Ballad of a Soldier."
-
E.
Aleksei Serebryakov
Aleksei Serebryakov is a Russian actor known for his intense performances in film and television, including prominent roles in both Russian cinema and international productions.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d1a4c08190afc325491ba38870 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5c0c8a481908aa7a40bca15e38e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.