Triple

T14495293
Position Surface form Disambiguated ID Type / Status
Subject Princess Alexandrine of Battenberg E359479 entity
Predicate familyName P18 FINISHED
Object Battenberg E217496 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: Battenberg | Statement: [Princess Alexandrine of Battenberg, familyName, Battenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battenberg
Context triple: [Princess Alexandrine of Battenberg, familyName, Battenberg]
  • A. Battenberg
    Battenberg is a German noble family that became closely associated with the British and Spanish royal families, later anglicizing its name to Mountbatten.
  • B. Butler Blue
    Butler Blue is the live English bulldog that serves as the beloved mascot of Butler University and its athletic teams.
  • C. Battenberg Palace
    Battenberg Palace is a historic royal residence and architectural landmark located in the Bulgarian city of Ruse.
  • D. House of Battenberg chosen
    The House of Battenberg was a morganatic cadet branch of German nobility that gained prominence through its members’ marriages into various European royal families and later anglicized its name to Mountbatten.
  • E. Gerhardine
    Gerhardine is the given name of Gerdy Troost, a German architect and interior designer known for her close professional association with the Nazi regime.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9544cc81908105554f212a9b8c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.