Triple

T10343241
Position Surface form Disambiguated ID Type / Status
Subject Eva Wagner E243677 entity
Predicate sibling P363 FINISHED
Object Daniela von Bülow E841518 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: Daniela von Bülow | Statement: [Eva Wagner, sibling, Daniela von Bülow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniela von Bülow
Context triple: [Eva Wagner, sibling, Daniela von Bülow]
  • A. Daniela von Bülow chosen
    Daniela von Bülow was the daughter of Cosima Wagner (and thus the granddaughter of composer Franz Liszt) who lived within the prominent 19th-century European musical and cultural milieu.
  • B. Monika Thiel
    Monika Thiel is a person notable enough to be recognized as a significant bearer of the surname Thiel.
  • C. Annette Strauss
    Annette Strauss was an American civic leader and philanthropist who became one of Dallas’s most prominent mayors in the late 1980s.
  • D. Tamara Thiel
    Tamara Thiel is a person notable enough to be recognized as a bearer of the surname Thiel, though specific widely known public details about her are not clearly established.
  • E. Justine Moritz
    Justine Moritz is a gentle, devout young woman in Mary Shelley's "Frankenstein" who becomes a tragic victim of injustice when she is wrongfully executed for a murder committed by Victor Frankenstein's creature.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e92105888190a08104deb9d0cf1c completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75077dfbc81908de29aac1a3bb19f completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:55 a.m.