Triple
T22632338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Song |
E558584
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object | Lord Shang of Song (Song Xiangong)? |
—
|
NE NERFINISHED |
How this triple was built (3 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: Lord Shang of Song (Song Xiangong)? | Statement: [State of Song, notableRuler, Lord Shang of Song (Song Xiangong)?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Shang of Song (Song Xiangong)? Context triple: [State of Song, notableRuler, Lord Shang of Song (Song Xiangong)?]
-
A.
General Shang
General Shang is a fictional military leader featured in the science fiction film "Arrival," known for his pivotal role in the global response to the alien visitation.
-
B.
Tang of Shang
Tang of Shang is the semi-legendary founder and first king of the Shang dynasty, celebrated in Chinese tradition for overthrowing the Xia and establishing a new ruling order.
-
C.
Lord Shang
Lord Shang was an influential Chinese statesman and legalist reformer of the Warring States period, best known for transforming the state of Qin into a highly centralized and powerful military state.
-
D.
Matai Shang
Matai Shang is the primary antagonist in the science fiction film "John Carter," depicted as a powerful and manipulative leader of the mysterious Therns.
-
E.
Di Xin of Shang
Di Xin of Shang was the last king of the Shang dynasty in ancient China, known for his tyrannical rule and defeat at the hands of the Zhou in the Battle of Muye.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lord Shang of Song (Song Xiangong)? Target entity description: Lord Shang of Song, also known as Song Xiangong, was a Spring and Autumn period ruler of the State of Song noted in early Chinese historical records for his role in the era’s interstate power struggles.
-
A.
General Shang
General Shang is a fictional military leader featured in the science fiction film "Arrival," known for his pivotal role in the global response to the alien visitation.
-
B.
Tang of Shang
Tang of Shang is the semi-legendary founder and first king of the Shang dynasty, celebrated in Chinese tradition for overthrowing the Xia and establishing a new ruling order.
-
C.
Lord Shang
Lord Shang was an influential Chinese statesman and legalist reformer of the Warring States period, best known for transforming the state of Qin into a highly centralized and powerful military state.
-
D.
Matai Shang
Matai Shang is the primary antagonist in the science fiction film "John Carter," depicted as a powerful and manipulative leader of the mysterious Therns.
-
E.
Di Xin of Shang
Di Xin of Shang was the last king of the Shang dynasty in ancient China, known for his tyrannical rule and defeat at the hands of the Zhou in the Battle of Muye.
- F. None of above. chosen
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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700ab4308190a16b0a1b2a0210fd |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:02 p.m.