Triple
T22008560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 归来 |
E543513
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | 张慧雯 |
—
|
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: 张慧雯 | Statement: [归来, starring, 张慧雯]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 张慧雯 Context triple: [归来, starring, 张慧雯]
-
A.
Zhang Yuting
Zhang Yuting is a Chinese short track speed skater known for competing at the international level, including major championships and multi-sport events.
-
B.
Zhang Huiwen
chosen
Zhang Huiwen is a Chinese actress best known for her breakout role in Zhang Yimou’s film "Coming Home," which brought her widespread recognition.
-
C.
Wang Ziyi
Wang Ziyi is an actor known for his role in the Hong Kong workplace musical comedy-drama film "Office" (2015), directed by Johnnie To.
-
D.
Peng Xiuwen
Peng Xiuwen was a renowned Chinese conductor and arranger best known for modernizing and popularizing traditional Chinese orchestral music in the 20th century.
-
E.
Wu Xiaohui
Wu Xiaohui is a Chinese football executive best known for leading Shanghai Shenhua F.C., one of the major clubs in the Chinese Super League.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a2aebc8190951ee0bf9fd8e16d |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.