Triple

T3171671
Position Surface form Disambiguated ID Type / Status
Subject I Have Confidence E66360 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Maria von Trapp E333731 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: Maria von Trapp | Statement: [I Have Confidence, associatedWithCharacter, Maria von Trapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria von Trapp
Context triple: [I Have Confidence, associatedWithCharacter, Maria von Trapp]
  • A. Maria von Trapp chosen
    Maria von Trapp was an Austrian-born matriarch, singer, and memoirist whose life with the Trapp Family Singers inspired the musical and film "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. 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."
  • D. Brigitta von Trapp
    Brigitta von Trapp is one of the real-life von Trapp children whose family story inspired the musical and film "The Sound of Music."
  • E. Liesl von Trapp
    Liesl von Trapp is the eldest daughter of the von Trapp family in "The Sound of Music," portrayed as a romantic, headstrong teenager on the brink of adulthood.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66da23c81908f063b44b48b1e53 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432ebe354819097a4ddce7355b8db completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:06 p.m.