Triple
T7946595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiong clan |
E184513
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Xiong Yi |
E190503
|
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: Xiong Yi | Statement: [Xiong clan, founder, Xiong Yi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiong Yi Context triple: [Xiong clan, founder, Xiong Yi]
-
A.
Xiong Yi
chosen
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
-
B.
Hui Xiong
Hui Xiong is a prominent computer scientist and data mining researcher recognized for his influential contributions to knowledge discovery and data analytics.
-
C.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
D.
Lin Yipeng
Lin Yipeng is the birth name of Justin Lin, a Taiwanese-American film director best known for his work on the Fast & Furious franchise.
-
E.
Yao Yecheng
Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd33cf48188190b57ac2fb1dbfa771 |
completed | April 1, 2026, 3:03 p.m. |
Created at: March 30, 2026, 5:09 p.m.