Triple
T18953132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Theatre Academy |
E463704
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Tong Dawei |
—
|
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: Tong Dawei | Statement: [Shanghai Theatre Academy, hasNotableAlumni, Tong Dawei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tong Dawei Context triple: [Shanghai Theatre Academy, hasNotableAlumni, Tong Dawei]
-
A.
Tong Dawei
chosen
Tong Dawei is a Chinese actor known for his prominent roles in film and television, including his performance in acclaimed historical dramas.
-
B.
Ding Wei
Ding Wei is a Chinese given name borne by several individuals, most notably a professional Go player.
-
C.
Teng Huatao
Teng Huatao is a Chinese film and television director known for popular contemporary dramas and commercially successful romantic comedies.
-
D.
Teng Dai
Teng Dai is a person notable enough to be recognized as a prominent bearer of the Chinese surname Teng.
-
E.
Ding Zhao
Ding Zhao is a personal name borne by multiple individuals, typically of Chinese origin, across various professional and academic fields.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d544fef8819091147189ddd89617 |
completed | April 20, 2026, 7:27 a.m. |
Created at: April 10, 2026, noon