Triple
T17386355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrei Suslin |
E422696
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Suslin | Statement: [Andrei Suslin, familyName, Suslin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suslin Context triple: [Andrei Suslin, familyName, Suslin]
-
A.
Andrei Suslin
Andrei Suslin was a prominent Russian mathematician known for his influential work in algebraic K-theory and related areas of algebra.
-
B.
Fraenkel
Fraenkel is a surname most prominently associated with Abraham Fraenkel, a German-Israeli mathematician known for his foundational work in axiomatic set theory.
-
C.
Morawka
Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
-
D.
Shelah
Shelah is a minor biblical figure mentioned in the Book of Genesis as one of the sons in the family line of Judah.
-
E.
Mikhail Suslin
chosen
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.
- 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.