Triple
T7959830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liwen Shao |
E184832
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Jing Tian |
E17770
|
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: Jing Tian | Statement: [Liwen Shao, portrayedBy, Jing Tian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jing Tian Context triple: [Liwen Shao, portrayedBy, Jing Tian]
-
A.
Jing Tian
chosen
Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
-
B.
Li Jingxi
Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
-
C.
Tian Rui
Tian Rui is a chapter of the classical Daoist text Liezi, traditionally attributed to the philosopher Lie Yukou.
-
D.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
E.
Yang Tianyi
Yang Tianyi is an online content creator known for gaining popularity and a significant following on digital platforms.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8136448190890f007fb4fb7625 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd943f5aec8190a42d3932ef7c54fd |
completed | April 1, 2026, 9:55 p.m. |
Created at: March 30, 2026, 5:12 p.m.