Triple

T13821525
Position Surface form Disambiguated ID Type / Status
Subject Tiefland E332147 entity
Predicate originalTitle P65 FINISHED
Object Tiefland E66089 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: Tiefland | Statement: [Tiefland, originalTitle, Tiefland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiefland
Context triple: [Tiefland, originalTitle, Tiefland]
  • A. Tiefland chosen
    Tiefland is a German film directed by Leni Riefenstahl, known for its troubled production history during the Nazi era and its later critical scrutiny.
  • B. Die Fackel
    Die Fackel was a radical periodical associated with the Chicago anarchist movement, known for its militant advocacy of anarchist ideas and workers’ rights in the late 19th century.
  • C. Der große Bellheim
    Der große Bellheim is a German television miniseries from the early 1990s that follows an aging department store owner fighting to save his business and legacy amid economic and personal upheavals.
  • D. Black Shawl
    Black Shawl was the Oglala Lakota wife of the famed war leader Crazy Horse, known primarily through her association with his life and legacy.
  • E. Die Rättin
    Die Rättin is a dystopian novel by German author Günter Grass that portrays an apocalyptic future through the allegorical perspective of a talking rat.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e60e1c81908d51d723e85e0541 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.