Triple

T13884573
Position Surface form Disambiguated ID Type / Status
Subject Nonnberg Abbey E333805 entity
Predicate associatedPerson P2308 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: [Nonnberg Abbey, associatedPerson, Maria von Trapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria von Trapp
Context triple: [Nonnberg Abbey, associatedPerson, 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. Maria Franziska von Trapp
    Maria Franziska von Trapp was one of the singing von Trapp children whose family story inspired the musical and film "The Sound of Music."
  • C. Johanna von Trapp
    Johanna von Trapp was one of the children in the real-life Trapp family whose story inspired "The Sound of Music."
  • D. 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."
  • E. Martina von Trapp
    Martina von Trapp is a member of the historic von Trapp family, whose story inspired "The Sound of Music" and who are renowned for their musical legacy.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0bea4d248190bcbcea9ea875c5f9 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
Created at: April 9, 2026, 10:15 p.m.