Triple
T20583846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yao Ming |
E505731
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ye Li |
—
|
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: Ye Li | Statement: [Yao Ming, spouse, Ye Li]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ye Li Context triple: [Yao Ming, spouse, Ye Li]
-
A.
Ye Li
chosen
Ye Li is a retired Chinese women's basketball player best known as the wife of former NBA star Yao Ming.
-
B.
Lin Yurong
Lin Yurong is the original birth name of Lin Biao, a prominent Chinese Communist military leader and key figure in the Chinese Civil War and early People’s Republic of China.
-
C.
Yang Weining
Yang Weining is a character in Liu Cixin’s science fiction novel "The Three-Body Problem," known as the daughter of astrophysicist Ye Wenjie and a key figure in the unfolding of the story’s scientific and political intrigues.
-
D.
Jiang Wenli
Jiang Wenli is a renowned Chinese actress celebrated for her versatile performances in film and television dramas.
-
E.
Wei Li
Wei Li is a computer scientist known for co-authoring and introducing the T5 (Text-to-Text Transfer Transformer) language model in natural language processing research.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a974ee4c819099310b46885a5597 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.