Triple

T5338430
Position Surface form Disambiguated ID Type / Status
Subject Tonje E123882 entity
Predicate derivedFrom P909 FINISHED
Object Antonie E105088 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: Antonie | Statement: [Tonje, derivedFrom, Antonie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonie
Context triple: [Tonje, derivedFrom, Antonie]
  • A. Anthonie chosen
    Anthonie is a Dutch given name historically borne by notable figures such as statesman Anthonie Heinsius.
  • B. Albertina
    Albertina was the historic University of Königsberg, a prominent Prussian center of learning and research founded in the 16th century.
  • C. Alois
    Alois is a masculine given name of Germanic origin, notably borne by Alois Hitler, the father of Adolf Hitler.
  • D. Hermine Andermann
    Hermine Andermann was the mother of Austrian-American mathematician Karl Menger.
  • E. Lucie Brasch
    Lucie Brasch was the mother of renowned British painter Lucian Freud and a member of the prominent Freud family.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c8415c819099a0b26e07360f01 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18c54ca4819095ca1d81ee061937 completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.