Triple

T7685062
Position Surface form Disambiguated ID Type / Status
Subject Lev Pontryagin E174094 entity
Predicate notableStudent P4838 FINISHED
Object Rufina Gurevich
Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
E685113 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: Rufina Gurevich | Statement: [Lev Pontryagin, notableStudent, Rufina Gurevich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rufina Gurevich
Context triple: [Lev Pontryagin, notableStudent, Rufina Gurevich]
  • A. Rosa Yosifovna
    Rosa Yosifovna was the wife of Bulgarian communist leader and first communist head of state Georgi Dimitrov.
  • B. Vera Glagoleva
    Vera Glagoleva was a prominent Russian film actress and director known for her work in Soviet and post-Soviet cinema.
  • C. Anna Moiseyevna Rozenstein
    Anna Moiseyevna Rozenstein, better known as Anna Kuliscioff, was a prominent Russian-Italian socialist, feminist, and physician active in the late 19th and early 20th centuries.
  • D. Lyudmila Abramova
    Lyudmila Abramova is a Soviet actress best known for being the second wife of iconic Russian singer-songwriter and actor Vladimir Vysotsky.
  • E. Olga Loyev
    Olga Loyev is a person whose specific public background or notable achievements are not clearly documented in widely available sources.
  • 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: Rufina Gurevich
Triple: [Lev Pontryagin, notableStudent, Rufina Gurevich]
Generated description
Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rufina Gurevich
Target entity description: Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
  • A. Rosa Yosifovna
    Rosa Yosifovna was the wife of Bulgarian communist leader and first communist head of state Georgi Dimitrov.
  • B. Vera Glagoleva
    Vera Glagoleva was a prominent Russian film actress and director known for her work in Soviet and post-Soviet cinema.
  • C. Anna Moiseyevna Rozenstein
    Anna Moiseyevna Rozenstein, better known as Anna Kuliscioff, was a prominent Russian-Italian socialist, feminist, and physician active in the late 19th and early 20th centuries.
  • D. Lyudmila Abramova
    Lyudmila Abramova is a Soviet actress best known for being the second wife of iconic Russian singer-songwriter and actor Vladimir Vysotsky.
  • E. Olga Loyev
    Olga Loyev is a person whose specific public background or notable achievements are not clearly documented in widely available sources.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022118908190a3a93cfda79be0a4 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4fda81881908144cebdd2696e63 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b5a1f758819086f4f4a2b6221369 completed March 29, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_69c8b649e91c8190b18f8caacb584327 completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:02 p.m.