Triple

T22258001
Position Surface form Disambiguated ID Type / Status
Subject Cheat Codes E550140 entity
Predicate hasTrack P3284 FINISHED
Object Identical Deaths NE NERFINISHED

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: Identical Deaths | Statement: [Cheat Codes, hasTrack, Identical Deaths]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Identical Deaths
Context triple: [Cheat Codes, hasTrack, Identical Deaths]
  • A. Identical Deaths chosen
    Identical Deaths is a track by the electronic music trio Cheat Codes, known for their blend of pop, EDM, and melodic hooks.
  • B. Killed by Death
    "Killed by Death" is a 1984 heavy metal single by Motörhead, known for its aggressive sound and status as a fan-favorite anthem in the band's catalog.
  • C. Ways of Dying
    Ways of Dying is a post-apartheid South African novel by Zakes Mda that follows a self-appointed professional mourner navigating grief, community, and transformation in a rapidly changing society.
  • D. Nine Dead
    Nine Dead is a 2010 American thriller film in which nine strangers are kidnapped and forced to discover how they are connected before they are killed one by one.
  • E. Among the Dead
    "Among the Dead" is a darkly comic novel by Michael Tolkin that explores guilt, faith, and moral reckoning through the story of a man confronting his past after surviving a plane crash.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c4bff48190b4be83f5f7677ac8 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.