Triple

T11313152
Position Surface form Disambiguated ID Type / Status
Subject Ernst Heinrich von Klotzsch E267892 entity
Predicate familyName P18 FINISHED
Object von Klotzsch E267892 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: von Klotzsch | Statement: [Ernst Heinrich von Klotzsch, familyName, von Klotzsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Klotzsch
Context triple: [Ernst Heinrich von Klotzsch, familyName, von Klotzsch]
  • A. von Schlebrügge
    von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
  • B. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • C. von Schlieben
    von Schlieben is a German noble family name historically associated with military officers and aristocracy.
  • D. von Holzhausen
    von Holzhausen is a German-origin surname historically associated with several notable figures, including contemporary automotive designer Franz von Holzhausen.
  • E. Ernst Heinrich von Klotzsch chosen
    Ernst Heinrich von Klotzsch was a 19th-century German botanist known for his taxonomic work on plants, including the formal description of the conifer genus Platycladus.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c1b7dc81908d8cc768c47390d3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a910a2c8190b8afd4c988e64141 completed April 19, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:32 p.m.