Triple

T14525884
Position Surface form Disambiguated ID Type / Status
Subject Maria Magdalena Keverich E340774 entity
Predicate familyName P18 FINISHED
Object Keverich E340774 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: Keverich | Statement: [Maria Magdalena Keverich, familyName, Keverich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keverich
Context triple: [Maria Magdalena Keverich, familyName, Keverich]
  • A. Keverich chosen
    Keverich is a German surname historically associated with Maria Magdalena Keverich, the mother of composer Ludwig van Beethoven.
  • B. Vereker
    Vereker is an Anglo-Irish noble family name historically associated with the Viscounts Gort and other members of the British and Irish aristocracy.
  • C. Kallady
    Kallady is a coastal village in eastern Sri Lanka known for its beaches, fishing community, and proximity to the town of Batticaloa.
  • D. Kilrea
    Kilrea is a small town in County Londonderry, Northern Ireland, known for its historic market heritage and riverside setting.
  • E. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a52260881909a0d85603666107d completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.