Triple

T16668989
Position Surface form Disambiguated ID Type / Status
Subject Kapitsa E405055 entity
Predicate notableBearer P458 FINISHED
Object Sergei Kapitsa E85626 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 Kapitsa | Statement: [Kapitsa, notableBearer, Sergei Kapitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei Kapitsa
Context triple: [Kapitsa, notableBearer, Sergei Kapitsa]
  • A. Sergei Kapitsa chosen
    Sergei Kapitsa was a Russian physicist and demographer best known for popularizing science on Soviet television and for his work on population dynamics.
  • B. Peter Kapitza
    Peter Kapitza was a Soviet physicist and Nobel laureate renowned for his pioneering work in low-temperature physics and the study of liquid helium.
  • C. Dmitri Skobeltsyn
    Dmitri Skobeltsyn was a pioneering Russian physicist whose cloud chamber experiments were crucial in the discovery and study of cosmic rays.
  • D. Igor Tamm
    Igor Tamm was a Soviet theoretical physicist and Nobel laureate renowned for his work on the theory of Cherenkov radiation and contributions to nuclear and particle physics.
  • E. Sergey Vavilov
    Sergey Vavilov was a prominent Soviet physicist and academician, known for his work in physical optics and for serving as president of the USSR Academy of Sciences.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9fa3d081909457b1bdea1d96e0 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091901fd88190a3c0e4b133121a02 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:18 a.m.