Triple
T16972390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han Meilin |
E411718
|
entity |
| Predicate | name |
P16
|
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: [Han Meilin, name, Han Meilin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Meilin Context triple: [Han Meilin, name, 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.
Huang Xuchu
Huang Xuchu was a Chinese warlord and political figure who led the Guangxi Clique during the turbulent Warlord Era and Republican period in China.
-
D.
Xue Ming
Xue Ming is a Chinese given name most notably borne by a Chinese female volleyball player who has competed at the international level.
-
E.
Han Duan
Han Duan is a retired Chinese footballer and prolific forward who was a key player for the China women's national team and competed in multiple FIFA Women's World Cups and Olympic Games.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d471d4248190acf40b6c11926a65 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.