Triple
T4750838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Wall (2016 film) |
E105472
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Zhang Hanyu |
E444662
|
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: Zhang Hanyu | Statement: [The Great Wall (2016 film), starring, Zhang Hanyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhang Hanyu Context triple: [The Great Wall (2016 film), starring, Zhang Hanyu]
-
A.
Zhang Hanyu
chosen
Zhang Hanyu is a Chinese actor known for his powerful performances in films such as "Assembly" and "The Taking of Tiger Mountain."
-
B.
Daniel Wu
Daniel Wu is a Hong Kong-American actor, director, and producer known for his roles in action and fantasy films as well as the TV series "Into the Badlands."
-
C.
Andy Lau
Andy Lau is a renowned Hong Kong actor and Cantopop singer, widely regarded as one of the most successful and influential stars in the Chinese entertainment industry.
-
D.
Haifan Lin
Haifan Lin is a prominent stem cell and developmental biologist known for his pioneering research on germline stem cells and RNA regulation.
-
E.
Chow Yun-fat
Chow Yun-fat is a renowned Hong Kong actor celebrated for his charismatic performances in action and drama films such as "A Better Tomorrow" and "Crouching Tiger, Hidden Dragon."
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c97b548190815083f2f8df907c |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43b24440819081f3932eb6b68b48 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:20 p.m.