Triple
T17386353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrei Suslin |
E422696
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrei Suslin |
—
|
NE NERFINISHED |
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: Andrei Suslin | Statement: [Andrei Suslin, name, Andrei Suslin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrei Suslin Context triple: [Andrei Suslin, name, Andrei Suslin]
-
A.
Andrei Suslin
chosen
Andrei Suslin was a prominent Russian mathematician known for his influential work in algebraic K-theory and related areas of algebra.
-
B.
Mikhail Suslin
Mikhail Suslin was a Russian mathematician known for his foundational work in descriptive set theory and the introduction of what are now called Suslin sets and Suslin lines.
-
C.
Nikolai Luzin
Nikolai Luzin was a prominent Russian mathematician and founder of the Moscow school of descriptive set theory, known for his influential work in real analysis and the theory of functions.
-
D.
Pavel Alexandrov
Pavel Alexandrov was a prominent Russian-Soviet mathematician known for his foundational contributions to topology and his role in developing the Moscow school of mathematics.
-
E.
Pavel Urysohn
Pavel Urysohn was a Russian mathematician best known for his foundational work in topology, including the Urysohn lemma and the development of dimension theory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a89c5008190a277a68e5cfe67b7 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.