Triple
T21950185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qi |
E542044
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Jiang Ziya |
—
|
NE NERFINISHED |
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: Jiang Ziya | Statement: [Qi, founder, Jiang Ziya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiang Ziya Context triple: [Qi, founder, Jiang Ziya]
-
A.
Jiang Ziya
chosen
Jiang Ziya is a legendary Chinese strategist and statesman of the late Shang and early Zhou dynasties, famed for helping King Wen and King Wu overthrow the Shang and establish the Zhou dynasty.
-
B.
Li Shang
Li Shang is a disciplined and honorable Chinese army captain who becomes Mulan’s commanding officer and eventual love interest in Disney’s animated film "Mulan."
-
C.
Tao Zhu Gong
Tao Zhu Gong, also known as Fan Li, was an ancient Chinese strategist and statesman who later became a legendary merchant and is often revered as a patron saint of business and commerce.
-
D.
Cheng Tang
Cheng Tang was the founding king of China's Shang dynasty, renowned for toppling the Xia dynasty and establishing a new ruling order.
-
E.
Shen Dao
Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243bb9c88190a3774b9fa2af9871 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.