Triple
T18657464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death by China (film) |
E456103
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Death by China |
—
|
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 | Statement: [Death by China (film), basedOn, Death by China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Death by China Context triple: [Death by China (film), basedOn, Death by China]
-
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.
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.
-
C.
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.
-
D.
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.
-
E.
On the Chin
"On the Chin" is a song by the band Mechanical Bull.
- 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.