Triple

T8624744
Position Surface form Disambiguated ID Type / Status
Subject Andrei Rublev (1966 film) E204254 entity
Predicate starring P1507 FINISHED
Object Irma Raush E252519 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: Irma Raush | Statement: [Andrei Rublev (1966 film), starring, Irma Raush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irma Raush
Context triple: [Andrei Rublev (1966 film), starring, Irma Raush]
  • A. Irma Raush chosen
    Irma Raush is a Russian actress and film director best known for her work in Soviet cinema and her collaborations with Andrei Tarkovsky.
  • B. Ruth Wenger
    Ruth Wenger was a Swiss singer and writer best known for her brief marriage to Nobel Prize–winning author Hermann Hesse.
  • C. Alma Kruger
    Alma Kruger was an American stage and film actress best known for her character roles in Hollywood movies of the 1930s and 1940s.
  • D. Dorothy Herzka
    Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
  • E. Esther Raab
    Esther Raab was a Jewish Holocaust survivor known for escaping from the Sobibor extermination camp and later bearing witness to its atrocities.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4728360c8190b5e600596cbced0c completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91d31d48190bfd8a8254f6f518e completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:26 p.m.