Triple
T8768984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sechenov crater |
E208408
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ivan Sechenov |
E493094
|
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: Ivan Sechenov | Statement: [Sechenov crater, namedAfter, Ivan Sechenov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivan Sechenov Context triple: [Sechenov crater, namedAfter, Ivan Sechenov]
-
A.
Ivan Sechenov
chosen
Ivan Sechenov was a pioneering Russian physiologist often called the "father of Russian physiology," whose work on reflexes and the nervous system laid the groundwork for later researchers like Ivan Pavlov.
-
B.
Vladimir Bekhterev
Vladimir Bekhterev was a pioneering Russian neurologist and psychiatrist known for his foundational work in reflexology and brain anatomy.
-
C.
Mikhail Anichkov
Mikhail Anichkov was a Russian engineer after whom the famous Anichkov Bridge in Saint Petersburg is named.
-
D.
Alexander Korsakov
Alexander Korsakov was a Russian general of the late 18th and early 19th centuries, known for his role in the French Revolutionary Wars.
-
E.
Esper Alexandrovich Beloselsky-Belozersky
Esper Alexandrovich Beloselsky-Belozersky was a Russian nobleman and naval officer from the prominent Beloselsky-Belozersky princely family.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eec49708190ba760d81a7974c50 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51af01e48190af674a03d0768f3b |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:41 p.m.