Triple
T14429593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fyodorov |
E357786
|
entity |
| Predicate | variantTransliteration |
P5923
|
FINISHED |
| Object | Fedorov |
E639173
|
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: Fedorov | Statement: [Fyodorov, variantTransliteration, Fedorov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fedorov Context triple: [Fyodorov, variantTransliteration, Fedorov]
-
A.
Fedorov
chosen
Fedorov is a common Russian surname borne by numerous notable figures in fields such as sports, science, and the arts.
-
B.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
C.
Fedor Tokarev
Fedor Tokarev was a prominent Soviet firearms designer best known for creating influential weapons such as the Tokarev pistol and the SVT-40 semi-automatic rifle.
-
D.
Makarov
Makarov is a Russian surname most prominently associated with notable figures such as Hall of Fame ice hockey player Sergei Makarov.
-
E.
Pavlichenko
Pavlichenko is a Ukrainian surname most famously borne by Lyudmila Pavlichenko, a celebrated Soviet World War II sniper.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91154de881909266ae88d1545685 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd1c4d0819085edb9ed22128b68 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.