Triple

T7512875
Position Surface form Disambiguated ID Type / Status
Subject Johnsen E177563 entity
Predicate isRelatedTo P37 FINISHED
Object Johannsen E447065 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: Johannsen | Statement: [Johnsen, isRelatedTo, Johannsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannsen
Context triple: [Johnsen, isRelatedTo, Johannsen]
  • A. Johannsen chosen
    Johannsen is a Scandinavian patronymic surname, closely related to Jensen, typically meaning "son of Johann."
  • B. Reginald Punnett
    Reginald Punnett was a British geneticist best known for developing the Punnett square, a fundamental tool for predicting the outcome of genetic crosses.
  • C. Wilhelm Weinberg
    Wilhelm Weinberg was a German physician and geneticist who independently formulated the population genetics equilibrium now known as the Hardy–Weinberg principle.
  • D. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • E. Theodosius Dobzhansky
    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.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d52b2c8190ba32b1575756fa7c completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84614e8608190b6d683e4402a6275 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.