Triple

T12042561
Position Surface form Disambiguated ID Type / Status
Subject Aleksandr Butlerov E286697 entity
Predicate notableStudent P4838 FINISHED
Object Alexander Zaitsev
Alexander Zaitsev was a Russian chemist best known for formulating Zaitsev's rule, which predicts the favored product in elimination reactions.
E1317904 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: Alexander Zaitsev | Statement: [Aleksandr Butlerov, notableStudent, Alexander Zaitsev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Zaitsev
Context triple: [Aleksandr Butlerov, notableStudent, Alexander Zaitsev]
  • A. Yury Zaitsev
    Yury Zaitsev is a Russian politician who serves as the Head of the Republic of Mari El, a federal subject of Russia.
  • B. Aleksei Zhadov
    Aleksei Zhadov was a Soviet general who distinguished himself as a tank army commander on the Eastern Front during World War II.
  • C. Alexander Tizyakov
    Alexander Tizyakov was a Soviet industrial manager and conservative political figure known for his role in the 1991 attempted coup against Mikhail Gorbachev.
  • D. Oleg Krasnov
    Oleg Krasnov is a person notable enough to be recognized as a significant bearer of the Krasnov surname.
  • E. Georgy Yartsev
    Georgy Yartsev is a Russian former footballer and coach best known for managing the Russia national team in the early 2000s.
  • 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: Alexander Zaitsev
Triple: [Aleksandr Butlerov, notableStudent, Alexander Zaitsev]
Generated description
Alexander Zaitsev was a Russian chemist best known for formulating Zaitsev's rule, which predicts the favored product in elimination reactions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alexander Zaitsev
Target entity description: Alexander Zaitsev was a Russian chemist best known for formulating Zaitsev's rule, which predicts the favored product in elimination reactions.
  • A. Yury Zaitsev
    Yury Zaitsev is a Russian politician who serves as the Head of the Republic of Mari El, a federal subject of Russia.
  • B. Aleksei Zhadov
    Aleksei Zhadov was a Soviet general who distinguished himself as a tank army commander on the Eastern Front during World War II.
  • C. Alexander Tizyakov
    Alexander Tizyakov was a Soviet industrial manager and conservative political figure known for his role in the 1991 attempted coup against Mikhail Gorbachev.
  • D. Oleg Krasnov
    Oleg Krasnov is a person notable enough to be recognized as a significant bearer of the Krasnov surname.
  • E. Georgy Yartsev
    Georgy Yartsev is a Russian former footballer and coach best known for managing the Russia national team in the early 2000s.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4a715808190919b96b9e85f90d6 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c5a12da88190babe36d475b54994 completed May 13, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03c63ec8c48190bad47d423ab2cfe7 completed May 13, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:47 p.m.