Triple

T10484969
Position Surface form Disambiguated ID Type / Status
Subject Theodosius Dobzhansky E247271 entity
Predicate hasFamilyName P18 FINISHED
Object Dobzhansky E38508 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: Dobzhansky | Statement: [Theodosius Dobzhansky, hasFamilyName, Dobzhansky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobzhansky
Context triple: [Theodosius Dobzhansky, hasFamilyName, Dobzhansky]
  • A. Theodosius Dobzhansky chosen
    Theodosius Dobzhansky was a pioneering 20th-century geneticist and evolutionary biologist whose work integrating genetics with natural selection helped lay the foundations of the modern evolutionary synthesis.
  • B. Dimitri Weismann
    Dimitri Weismann is a fictional Broadway impresario and former producer of lavish revues in Stephen Sondheim and James Goldman’s musical "Follies."
  • C. Mikhail Belyaev
    Mikhail Belyaev was a Russian Imperial general who served as the last War Minister of the Russian Empire during World War I.
  • D. Eugene Belyaev
    Eugene Belyaev is a Russian software engineer and entrepreneur best known as a co-founder of the software development tools company JetBrains.
  • E. Beadle
    Beadle is an English-language surname borne by various notable individuals across fields such as science, politics, and the arts.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50968a0bc8190a18ba24eb37431d9 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc7fc0cc8190922b7b783d37f542 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.