Triple
T22008574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 归来 |
E543513
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Lu Yanshi |
—
|
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 Yanshi | Statement: [归来, mainCharacter, Lu Yanshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lu Yanshi Context triple: [归来, mainCharacter, Lu Yanshi]
-
A.
Lu Yanshi
chosen
Lu Yanshi is the long-suffering intellectual protagonist of Zhang Yimou’s film "Coming Home," whose return from political imprisonment tests the endurance of love, memory, and family bonds in post-Cultural Revolution China.
-
B.
Lu Yanzhi
Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
-
C.
Lin Shi Rong
Lin Shi Rong is the Chinese name of the folk-hero character known as the Magnificent Butcher, a legendary martial artist popularized in Hong Kong kung fu cinema.
-
D.
Yin Jichang
Yin Jichang is a Chinese sculptor best known for designing and creating the iconic Five Rams Statue in Guangzhou.
-
E.
Liu Yalou
Liu Yalou was a prominent Chinese military leader and founding general who became the first commander and key architect of the People's Liberation Army Air Force.
- 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.