Triple

T19742419
Position Surface form Disambiguated ID Type / Status
Subject Franz Unger E474159 entity
Predicate influenced P9 FINISHED
Object Gregor Mendel NE NERFINISHED

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: Gregor Mendel | Statement: [Franz Unger, influenced, Gregor Mendel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregor Mendel
Context triple: [Franz Unger, influenced, Gregor Mendel]
  • A. Gregor Mendel chosen
    Gregor Mendel was a 19th-century Augustinian monk and scientist whose experiments with pea plants founded the science of genetics and laid the groundwork for modern evolutionary theory.
  • B. Mendel
    Mendel is a member of the Circus, likely a performer or participant associated with its shows or activities.
  • C. 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.
  • D. Hugo de Vries
    Hugo de Vries was a Dutch botanist and early geneticist who helped establish modern genetics by independently formulating mutation theory and contributing to the rediscovery of Gregor Mendel’s work.
  • E. William Bateson
    William Bateson was a pioneering British geneticist who helped introduce and promote Mendelian genetics and even coined the term "genetics" for the field.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.