Triple
T12093902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Novikov |
E288018
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Novikov |
E497751
|
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: Novikov | Statement: [Sergei Novikov, familyName, Novikov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novikov Context triple: [Sergei Novikov, familyName, Novikov]
-
A.
Novikov
chosen
Novikov is a common Russian surname borne by numerous notable figures in fields such as mathematics, physics, literature, and the military.
-
B.
Firsov
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
C.
Nagaev
Nagaev is the person after whom Nagaev Bay in Russia was named, likely a historical figure associated with the region’s exploration or development.
-
D.
Novik
Novik is a surname most prominently associated with Naomi Novik, the American fantasy author known for works such as the Temeraire series and "Uprooted."
-
E.
Vershinin
Vershinin is a philosophical army officer in Anton Chekhov’s play "Three Sisters," known for his idealistic reflections on the future and unfulfilled dreams.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66edf7881908f29b5b40b9d020f |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.