Triple

T8278378
Position Surface form Disambiguated ID Type / Status
Subject Nikolai Zinin E193603 entity
Predicate notableFor P22 FINISHED
Object Zinin reduction E193604 NE FINISHED

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: Zinin reduction | Statement: [Nikolai Zinin, notableFor, Zinin reduction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinin reduction
Context triple: [Nikolai Zinin, notableFor, Zinin reduction]
  • A. Zinin reduction chosen
    Zinin reduction is an organic chemistry reaction that converts nitro compounds into amines using sulfide-based reducing agents, named after Russian chemist Nikolai Zinin.
  • B. Zinin
    Zinin is a Russian surname most notably associated with chemist Nikolai Zinin, a pioneer in organic chemistry.
  • C. Corey–Bakshi–Shibata reduction
    The Corey–Bakshi–Shibata reduction is a widely used asymmetric organic reaction that enantioselectively reduces ketones to chiral alcohols using a chiral oxazaborolidine catalyst and borane.
  • D. Tamzine
    Tamzine is a small British fishing boat famed for taking part in the 1940 Dunkirk evacuation as one of the celebrated "Little Ships."
  • E. Cineriz
    Cineriz was an Italian film production and distribution company known for handling prominent auteur films during the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ebb6b88190bc777b8bd72fcdbc completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6863c22c8190b888a23bb9005712 completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:51 p.m.