Triple
T17749169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Live |
E443068
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Lu Wei |
—
|
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: Lu Wei | Statement: [To Live, screenwriter, Lu Wei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu Wei Context triple: [To Live, screenwriter, Lu Wei]
-
A.
Lu Wei
chosen
Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
-
B.
Lu Wenyu
Lu Wenyu is a Chinese architect and co-founder of Amateur Architecture Studio, known for her collaborative work with her husband, Pritzker Prize laureate Wang Shu.
-
C.
Lu Jun
Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
-
D.
Li Lianjie
Li Lianjie is the birth name of Jet Li, a Chinese-born martial artist and internationally renowned action film star.
-
E.
Jiang Wenli
Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.