Triple

T18422668
Position Surface form Disambiguated ID Type / Status
Subject Cahoots E442059 entity
Predicate hasPart P35 FINISHED
Object Shoot Out in Chinatown NE NERFINISHED

How this triple was built (3 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: Shoot Out in Chinatown | Statement: [Cahoots, hasPart, Shoot Out in Chinatown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoot Out in Chinatown
Context triple: [Cahoots, hasPart, Shoot Out in Chinatown]
  • A. The Killing of a Chinese Bookie
    The Killing of a Chinese Bookie is a 1976 neo-noir crime drama film by John Cassavetes that follows a nightclub owner whose gambling debts entangle him in a violent underworld.
  • B. Chinatown
    Chinatown is a culturally rich urban enclave characterized by a high concentration of Chinese residents, businesses, and institutions, often serving as a historic and contemporary hub of Chinese American life.
  • C. Chinatown
    Chinatown is a historic urban neighborhood in Honolulu known for its Chinese cultural heritage, markets, eateries, and vibrant arts scene.
  • D. Chinatown
    Chinatown in Yokohama is Japan’s largest and most famous Chinese district, known for its vibrant streets, numerous Chinese restaurants, and colorful temples.
  • E. Chinatown
    Chinatown is a historic New York City neighborhood known for its dense Chinese-American community, vibrant street life, and numerous Asian restaurants, markets, and cultural shops.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shoot Out in Chinatown
Target entity description: Shoot Out in Chinatown is a segment or episode within the American crime-comedy anthology film "Cahoots."
  • A. The Killing of a Chinese Bookie
    The Killing of a Chinese Bookie is a 1976 neo-noir crime drama film by John Cassavetes that follows a nightclub owner whose gambling debts entangle him in a violent underworld.
  • B. Chinatown
    Chinatown is a culturally rich urban enclave characterized by a high concentration of Chinese residents, businesses, and institutions, often serving as a historic and contemporary hub of Chinese American life.
  • C. Chinatown
    Chinatown is a historic San Francisco neighborhood renowned as one of the oldest and largest Chinese communities outside Asia, famous for its vibrant culture, shops, and cuisine.
  • D. Chinatown
    Chinatown is a historic urban neighborhood in Honolulu known for its Chinese cultural heritage, markets, eateries, and vibrant arts scene.
  • E. Chinatown
    Chinatown is a themed area in West Edmonton Mall designed to resemble a traditional Chinese district with Asian-inspired shops, decor, and dining options.
  • F. None of above. chosen

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2c98b0819082672174bf69b88c completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.