Triple

T15063230
Position Surface form Disambiguated ID Type / Status
Subject Fritz von Lossberg E379687 entity
Predicate familyName P18 FINISHED
Object von Lossberg E379687 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 Lossberg | Statement: [Fritz von Lossberg, familyName, von Lossberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Lossberg
Context triple: [Fritz von Lossberg, familyName, von Lossberg]
  • A. von Lossberg chosen
    Von Lossberg is a German noble family name historically associated with military officers and civil servants in Hesse and other German states.
  • B. von Lossow
    Von Lossow is a German noble family name historically associated with military officers and aristocratic lineages in Germany.
  • C. 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.
  • D. von Lichnowsky
    von Lichnowsky is the surname of a prominent Silesian noble family of princes known for their influence in Prussian and Austrian political and cultural life.
  • E. Losser
    Losser is a municipality in the eastern Netherlands, located in the province of Overijssel near the German border.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.