Triple

T3171624
Position Surface form Disambiguated ID Type / Status
Subject Maria Rainer E66359 entity
Predicate employer P7 FINISHED
Object Captain Georg von Trapp E354730 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: Captain Georg von Trapp | Statement: [Maria Rainer, employer, Captain Georg von Trapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Captain Georg von Trapp
Context triple: [Maria Rainer, employer, Captain Georg von Trapp]
  • A. Georg von Trapp chosen
    Georg von Trapp was an Austrian naval officer and patriarch of the Trapp Family Singers, whose life story inspired the musical and film "The Sound of Music."
  • B. Friedrich von Trapp
    Friedrich von Trapp was one of the seven singing children of the Austrian von Trapp family whose story inspired "The Sound of Music."
  • C. Kurt von Trapp
    Kurt von Trapp is one of the younger children in the real-life Trapp family, whose story inspired "The Sound of Music."
  • D. Maria von Trapp
    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."
  • E. 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."
  • 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_69b402bcf7ec8190a7f0b7c0cc45e2f8 completed March 13, 2026, 12:27 p.m.
Created at: March 8, 2026, 3:06 p.m.