Triple

T12522644
Position Surface form Disambiguated ID Type / Status
Subject Prizzi's Honor E299356 entity
Predicate editor P1954 FINISHED
Object Kaja Fehr E766814 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: Kaja Fehr | Statement: [Prizzi's Honor, editor, Kaja Fehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaja Fehr
Context triple: [Prizzi's Honor, editor, Kaja Fehr]
  • A. Kaja Fehr chosen
    Kaja Fehr is an editor known for her work on the film "One Christmas."
  • B. Johanna Pfaelzer
    Johanna Pfaelzer is an American theatre producer and arts leader known for her work developing new plays and serving in top artistic leadership roles at major regional theatres.
  • C. Juliane Köhler
    Juliane Köhler is a German actress known for her acclaimed performances in film, television, and theater, including award-winning roles in internationally recognized German cinema.
  • D. Heike Drechsler
    Heike Drechsler is a German former track and field athlete best known as one of history’s greatest long jumpers, winning multiple Olympic and World Championship titles.
  • E. Monika Hohlmeier
    Monika Hohlmeier is a German politician from the Christian Social Union (CSU) who has served as a Member of the European Parliament, known for her work on budgetary control and civil liberties.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718cd6288190ad080f469f334caf completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 9:57 p.m.