Triple
T17749620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadow (2018 film) |
E443077
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Sun Li |
—
|
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: Sun Li | Statement: [Shadow (2018 film), castMember, Sun Li]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Li Context triple: [Shadow (2018 film), castMember, Sun Li]
-
A.
Sun Li
chosen
Sun Li is a renowned Chinese actress acclaimed for her powerful performances in television dramas and films, and is considered one of China's most respected leading ladies.
-
B.
Sun Li-jen
Sun Li-jen was a prominent Chinese Nationalist general renowned for his leadership in World War II, particularly in the Burma Campaign against Japanese forces.
-
C.
Song Zuying
Song Zuying is a renowned Chinese soprano and folk singer celebrated for her powerful voice and frequent performances at major national events.
-
D.
Huang Ying
Huang Ying is a screenwriter best known for contributing to the classic Hong Kong horror-comedy film "Encounters of the Spooky Kind."
-
E.
Liu Huan
Liu Huan is a renowned Chinese pop singer and music educator, widely recognized as one of China’s most influential contemporary vocalists.
- 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.