Triple

T18657461
Position Surface form Disambiguated ID Type / Status
Subject Death by China E456103 entity
Predicate hasAdaptation P1690 FINISHED
Object Death by China (film) 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: Death by China (film) | Statement: [Death by China, hasAdaptation, Death by China (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Death by China (film)
Context triple: [Death by China, hasAdaptation, Death by China (film)]
  • A. Death by China chosen
    "Death by China" is a controversial non-fiction book and documentary that argues China's trade practices and economic policies pose a serious threat to the U.S. economy and global stability.
  • B. Trouble in China
    Trouble in China is a non-fiction work by Canadian broadcaster and journalist Gordon Sinclair that examines political and social conditions in China.
  • C. Nanjing Requiem
    Nanjing Requiem is a historical novel by Ha Jin that portrays the Nanjing Massacre through the experiences of those working at a missionary-run college sheltering Chinese civilians.
  • D. China's Sorrow
    China's Sorrow is a grim nickname for the Yellow River, reflecting its long history of catastrophic floods and devastation in China.
  • E. Zindan Gate
    Zindan Gate is a historic fortified entrance of the Belgrade Fortress, notable for its medieval towers and role in the city's defensive complex.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550864b0481909e59fbcc79fda839 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.