Triple

T10281927
Position Surface form Disambiguated ID Type / Status
Subject Hanna Schygulla E241119 entity
Predicate notableWork P4 FINISHED
Object Chinese Roulette E747619 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: Chinese Roulette | Statement: [Hanna Schygulla, notableWork, Chinese Roulette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinese Roulette
Context triple: [Hanna Schygulla, notableWork, Chinese Roulette]
  • A. Chinese Roulette chosen
    Chinese Roulette is a 1976 psychological drama film by Rainer Werner Fassbinder that explores cruelty, deception, and power dynamics within a wealthy German family.
  • B. Roulette
    Roulette is a popular casino game of chance in which players bet on where a ball will land on a spinning numbered wheel.
  • C. Roulette Farm
    Roulette Farm is a historic farmstead on the Antietam National Battlefield in Maryland, notable for its role and location near the Sunken Road during the American Civil War.
  • D. Russian Roulette
    Russian Roulette is a lethal game of chance in which participants take turns firing a revolver loaded with a single bullet at their own heads.
  • E. La ruleta de la suerte
    La ruleta de la suerte is the Spanish adaptation of the game show "Wheel of Fortune," where contestants solve word puzzles to win cash and prizes.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8352a108190b3692a2de3cb4dea completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:39 a.m.