Triple
T5556804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipotes |
E145663
|
entity |
| Predicate | describedBy |
P264
|
FINISHED |
| Object | Zhou, Qian & Li |
E208540
|
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: Zhou, Qian & Li | Statement: [Lipotes, describedBy, Zhou, Qian & Li]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhou, Qian & Li Context triple: [Lipotes, describedBy, Zhou, Qian & Li]
-
A.
Zhou
chosen
Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
-
B.
Shaobo Qin
Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
-
C.
Zhang Wenqi
Zhang Wenqi is a Chinese basketball player best known for having played professionally for the Shanghai Sharks in the Chinese Basketball Association.
-
D.
Wang Qunbin
Wang Qunbin is a Chinese entrepreneur and business executive best known as a co-founder and longtime leader of the conglomerate Fosun International.
-
E.
Qiong-Lei Min
Qiong-Lei Min is a major regional variety of the Min branch of Chinese spoken primarily in the Qiong (Hainan) and Lei regions.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffe12cc81908186f28ace0f4d82 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0283ebcd081909c86ced90c44266f |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:36 p.m.