Triple
T5119075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuwa |
E115414
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object | Han Meilin |
E411718
|
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: Han Meilin | Statement: [Fuwa, designedBy, Han Meilin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Meilin Context triple: [Fuwa, designedBy, Han Meilin]
-
A.
Han Meilin
chosen
Han Meilin is a renowned Chinese artist and designer best known internationally for creating the mascots of the 2008 Beijing Olympic Games.
-
B.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
C.
Li Xiannian
Li Xiannian was a prominent Chinese Communist revolutionary and politician who served as President of the People’s Republic of China from 1983 to 1988.
-
D.
Wu Jingyu
Wu Jingyu is a Chinese taekwondo athlete and multiple-time Olympic gold medalist renowned as one of the sport’s most successful competitors.
-
E.
Tang Yulin
Tang Yulin was a Chinese warlord and military commander from Manchuria who played a prominent role in regional politics during the Warlord Era and the early 20th-century struggles in Northeast China.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77cf6590819081488b739efae32c |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219fbf6c8190b84f866274817b9f |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:42 p.m.