Triple

T15276589
Position Surface form Disambiguated ID Type / Status
Subject Brigitta von Trapp E365155 entity
Predicate relative P37 FINISHED
Object Johanna von Trapp E1087313 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: Johanna von Trapp | Statement: [Brigitta von Trapp, relative, Johanna von Trapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johanna von Trapp
Context triple: [Brigitta von Trapp, relative, Johanna von Trapp]
  • A. Johanna von Trapp chosen
    Johanna von Trapp was one of the children in the real-life Trapp family whose story inspired "The Sound of Music."
  • B. Marta von Trapp
    Marta von Trapp was one of the younger daughters in the real-life Austrian Trapp family, whose story inspired "The Sound of Music."
  • C. Rosmarie von Trapp
    Rosmarie von Trapp was one of the elder children of the famous Trapp Family Singers, whose story inspired "The Sound of Music."
  • D. Agathe von Trapp
    Agathe von Trapp was the eldest daughter of the real-life von Trapp family whose story inspired "The Sound of Music," and later became known as a singer and memoirist.
  • E. Gretl von Trapp
    Gretl von Trapp is the youngest daughter of the real-life Austrian Trapp family, whose story inspired the musical and film "The Sound of Music."
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1d8e088190a2168952ab5dc687 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 3:14 a.m.