Triple
T14012502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakov Sinai |
E337117
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object |
Anatole Katok
Anatole Katok was a prominent mathematician known for his influential work in dynamical systems and ergodic theory.
|
E1073072
|
NE FINISHED |
How this triple was built (4 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: Anatole Katok | Statement: [Yakov Sinai, notableStudent, Anatole Katok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anatole Katok Context triple: [Yakov Sinai, notableStudent, Anatole Katok]
-
A.
Vladimir Arnold
Vladimir Arnold was a prominent Soviet and Russian mathematician renowned for his fundamental contributions to dynamical systems, catastrophe theory, and singularity theory.
-
B.
Anton Zorich
Anton Zorich is a mathematician known for his contributions to dynamical systems, flat surfaces, and Teichmüller theory.
-
C.
Vladimir Bogomolov
Vladimir Bogomolov was a Soviet writer best known for his war-themed fiction, some of which was adapted into notable films.
-
D.
Georgiy Gromov
Georgiy Gromov is an actor known for appearing in the science fiction war film "The Darkest Hour."
-
E.
Yakov Eliashberg
Yakov Eliashberg is a prominent Russian-American mathematician renowned for his foundational contributions to symplectic and contact topology.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anatole Katok Triple: [Yakov Sinai, notableStudent, Anatole Katok]
Generated description
Anatole Katok was a prominent mathematician known for his influential work in dynamical systems and ergodic theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anatole Katok Target entity description: Anatole Katok was a prominent mathematician known for his influential work in dynamical systems and ergodic theory.
-
A.
Vladimir Arnold
Vladimir Arnold was a prominent Soviet and Russian mathematician renowned for his fundamental contributions to dynamical systems, catastrophe theory, and singularity theory.
-
B.
Anton Zorich
Anton Zorich is a mathematician known for his contributions to dynamical systems, flat surfaces, and Teichmüller theory.
-
C.
Vladimir Bogomolov
Vladimir Bogomolov was a Soviet writer best known for his war-themed fiction, some of which was adapted into notable films.
-
D.
Georgiy Gromov
Georgiy Gromov is an actor known for appearing in the science fiction war film "The Darkest Hour."
-
E.
Yakov Eliashberg
Yakov Eliashberg is a prominent Russian-American mathematician renowned for his foundational contributions to symplectic and contact topology.
- F. None of above. chosen
Provenance (5 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.