Triple

T13396582
Position Surface form Disambiguated ID Type / Status
Subject Fuchsia E319715 entity
Predicate namedAfter P63 FINISHED
Object Leonhart Fuchs E678506 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: Leonhart Fuchs | Statement: [Fuchsia, namedAfter, Leonhart Fuchs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonhart Fuchs
Context triple: [Fuchsia, namedAfter, Leonhart Fuchs]
  • A. Leonhart Fuchs chosen
    Leonhart Fuchs was a 16th-century German physician and botanist renowned as one of the founding figures of modern botany, particularly for his influential herbal "De historia stirpium."
  • B. Bernhard Fuchs
    Bernhard Fuchs is a German photographer known for his quietly composed, documentary-style images of rural life and landscapes.
  • C. Franz Albrecht Medicus
    Franz Albrecht Medicus was a high-ranking German official who served as a State Secretary in the Reich Ministry of the Interior during the Nazi era.
  • D. Johannes R. Becher
    Johannes R. Becher was a German poet and politician best known as a leading cultural figure in the German Democratic Republic and its Minister of Culture.
  • E. Johann Frobenius
    Johann Frobenius was a prominent early 16th-century Swiss humanist printer and publisher in Basel, renowned for producing scholarly editions of classical and humanist texts.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73071c0b88190bca3b15ea11c7491 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.