Triple

T12148865
Position Surface form Disambiguated ID Type / Status
Subject Game of Death E289399 entity
Predicate alsoKnownAs P39 FINISHED
Object 死亡遊戲 E289399 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: 死亡遊戲 | Statement: [Game of Death, alsoKnownAs, 死亡遊戲]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 死亡遊戲
Context triple: [Game of Death, alsoKnownAs, 死亡遊戲]
  • A. Game of Death chosen
    Game of Death is an unfinished Bruce Lee martial arts film, later completed and released posthumously, famous for its iconic fight scenes and Lee’s battle with Kareem Abdul-Jabbar.
  • B. Playdead
    Playdead is a Danish independent video game developer best known for creating the critically acclaimed puzzle-platformers Limbo and Inside.
  • C. 1000 Ways to Die
    1000 Ways to Die is a darkly comedic documentary-style television series that dramatizes unusual and often bizarre real-life deaths.
  • D. Sudden Death
    Sudden Death is a 1995 action thriller film starring Jean-Claude Van Damme as a firefighter who must thwart a terrorist plot during a Stanley Cup hockey game.
  • E. Death by Numbers
    Death by Numbers is a track from Childish Gambino’s concept album "Because the Internet," known for its brief, interlude-like structure that contributes to the record’s overarching narrative.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ad6ef08190b334a97d6ab41487 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f698c5648190a5a29e08f2b7d8ab completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.