Triple

T16003579
Position Surface form Disambiguated ID Type / Status
Subject Russian Roulette E388153 entity
Predicate nameContainsWord P9161 FINISHED
Object Roulette E664124 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: Roulette | Statement: [Russian Roulette, nameContainsWord, Roulette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roulette
Context triple: [Russian Roulette, nameContainsWord, Roulette]
  • A. Roulette chosen
    Roulette is a popular casino game of chance in which players bet on where a ball will land on a spinning numbered wheel.
  • B. Chinese Roulette
    Chinese Roulette is a 1976 psychological drama film by Rainer Werner Fassbinder that explores cruelty, deception, and power dynamics within a wealthy German family.
  • 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. Baccarat
    Baccarat is a renowned French luxury brand best known for its exquisite crystal glassware, chandeliers, and decorative objects.
  • E. Blackjack
    Blackjack is the NATO reporting name for the Tupolev Tu-160, a supersonic, variable-sweep wing strategic bomber developed by the Soviet Union and still operated by Russia.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828e9e708190aec0078913bf098a completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.