Triple

T13739136
Position Surface form Disambiguated ID Type / Status
Subject Petr Novikov E330032 entity
Predicate hasChild P369 FINISHED
Object Sergei Novikov E288018 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: Sergei Novikov | Statement: [Petr Novikov, hasChild, Sergei Novikov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei Novikov
Context triple: [Petr Novikov, hasChild, Sergei Novikov]
  • A. Sergei Novikov chosen
    Sergei Novikov is a Russian mathematician renowned for his pioneering work in topology, particularly in the fields of cobordism theory and the topology of manifolds, for which he received the Fields Medal.
  • B. Vladimir Kurdyumov
    Vladimir Kurdyumov was a Soviet military commander best known for leading Red Army forces during the Winter War’s Battle of Kollaa against Finland.
  • C. Vladimir Arnold
    Vladimir Arnold was a prominent Soviet and Russian mathematician renowned for his fundamental contributions to dynamical systems, catastrophe theory, and singularity theory.
  • D. Vladimir Bogomolov
    Vladimir Bogomolov was a Soviet writer best known for his war-themed fiction, some of which was adapted into notable films.
  • E. Yury Linnik
    Yury Linnik was a prominent Soviet mathematician known for his contributions to number theory, probability theory, and mathematical statistics.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8cebcd481909ba75eef518b34c7 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:55 p.m.