Triple

T17182147
Position Surface form Disambiguated ID Type / Status
Subject Volker Schlöndorff E417008 entity
Predicate collaboratedWith P435 FINISHED
Object Margarethe von Trotta E622248 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: Margarethe von Trotta | Statement: [Volker Schlöndorff, collaboratedWith, Margarethe von Trotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margarethe von Trotta
Context triple: [Volker Schlöndorff, collaboratedWith, Margarethe von Trotta]
  • A. Margarethe von Trotta chosen
    Margarethe von Trotta is a renowned German film director and screenwriter, associated with New German Cinema and celebrated for her politically engaged, female-centered dramas.
  • B. Maria Rainer
    Maria Rainer is the spirited, music-loving governess who becomes the central heroine of the musical and film "The Sound of Music," ultimately transforming the von Trapp family’s life.
  • C. Hildegarde Pabst
    Hildegarde Pabst was the wife of American stage and film actor Ian Keith.
  • D. Susanne Haneke
    Susanne Haneke is the wife of acclaimed Austrian filmmaker Michael Haneke.
  • E. Susanne Bier
    Susanne Bier is an acclaimed Danish film director known for her emotionally intense dramas and the Academy Award-winning film "In a Better World."
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d934ec08190acc47073758ac3c0 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017938d5c4819098985b01636f7db5 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:37 a.m.