Triple
T13022962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lori Nichol |
E326222
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | Zhao Hongbo |
E722880
|
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: Zhao Hongbo | Statement: [Lori Nichol, hasClient, Zhao Hongbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhao Hongbo Context triple: [Lori Nichol, hasClient, Zhao Hongbo]
-
A.
Zhao Hongbo
chosen
Zhao Hongbo is a Chinese former pair skater, three-time world champion, and 2010 Olympic gold medalist, renowned for his partnership with Shen Xue.
-
B.
Zhao Huanyu
Zhao Huanyu is an actor known for appearing in the Chinese film "Special ID."
-
C.
Zhu Zhanshan
Zhu Zhanshan was a Ming dynasty imperial prince, known primarily as a son of the Hongxi Emperor of China.
-
D.
Guo Wei
Guo Wei was a 10th-century Chinese military leader who founded and ruled the Later Zhou dynasty during the Five Dynasties and Ten Kingdoms period.
-
E.
Jin Yunpeng
Jin Yunpeng was an early 20th-century Chinese military and political figure who twice served as premier during the turbulent warlord era of the Republic of 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11c1f6c8190be1c570a7e44a313 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:52 p.m.