Triple
T17661241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | affine Lie algebras |
E440255
|
entity |
| Predicate | hasKeyContributor |
P30146
|
FINISHED |
| Object | Igor Frenkel |
—
|
NE NERFINISHED |
How this triple was built (3 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: Igor Frenkel | Statement: [affine Lie algebras, hasKeyContributor, Igor Frenkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Igor Frenkel Context triple: [affine Lie algebras, hasKeyContributor, Igor Frenkel]
-
A.
Vladimir Gelfreikh
Vladimir Gelfreikh was a Soviet architect known for his prominent Stalinist-era designs and contributions to major state buildings in Moscow.
-
B.
Andrey Tychonoff
Andrey Tychonoff was a Russian mathematician best known for his foundational contributions to topology, particularly the formulation of the Tychonoff theorem.
-
C.
Igor Youskevitch
Igor Youskevitch was a renowned 20th-century ballet dancer celebrated for his powerful technique and leading roles with Ballet Theatre (now American Ballet Theatre).
-
D.
Sergei Gelfand
Sergei Gelfand is a mathematician known as one of the prominent students and collaborators of the influential Soviet mathematician Israel Gelfand.
-
E.
Vitaly Gromadsky
Vitaly Gromadsky is a Soviet bass soloist best known for premiering the vocal part in Dmitri Shostakovich’s Symphony No. 13 “Babi Yar.”
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Igor Frenkel Target entity description: Igor Frenkel is a prominent mathematician known for his foundational work in representation theory, including the development of vertex operator algebras and deep connections between affine Lie algebras, quantum groups, and mathematical physics.
-
A.
Vladimir Gelfreikh
Vladimir Gelfreikh was a Soviet architect known for his prominent Stalinist-era designs and contributions to major state buildings in Moscow.
-
B.
Andrey Tychonoff
Andrey Tychonoff was a Russian mathematician best known for his foundational contributions to topology, particularly the formulation of the Tychonoff theorem.
-
C.
Igor Youskevitch
Igor Youskevitch was a renowned 20th-century ballet dancer celebrated for his powerful technique and leading roles with Ballet Theatre (now American Ballet Theatre).
-
D.
Sergei Gelfand
Sergei Gelfand is a mathematician known as one of the prominent students and collaborators of the influential Soviet mathematician Israel Gelfand.
-
E.
Vitaly Gromadsky
Vitaly Gromadsky is a Soviet bass soloist best known for premiering the vocal part in Dmitri Shostakovich’s Symphony No. 13 “Babi Yar.”
- F. None of above. chosen
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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea67f8081909da164ca21a98675 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:43 a.m.