Triple
T10110034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Xiang |
E218215
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Lao Xiang |
E843760
|
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: Lao Xiang | Statement: [Old Xiang, hasAlternativeName, Lao Xiang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lao Xiang Context triple: [Old Xiang, hasAlternativeName, Lao Xiang]
-
A.
Lao An
Lao An is the wife of former Chinese premier Zhu Rongji and a relatively private figure associated with China's political elite.
-
B.
Longhui Xiang
chosen
Longhui Xiang is a regional variety of the Xiang Chinese language spoken in and around Longhui County in Hunan Province, China.
-
C.
Sun Lutang
Sun Lutang was a renowned Chinese martial artist and scholar best known for developing the Sun style of tai chi and integrating internal martial arts such as xingyiquan and baguazhang.
-
D.
Li Hai
Li Hai is a Chinese human rights activist known for his pro-democracy efforts and imprisonment in China, for which he received international recognition.
-
E.
Liao Yaoxiang
Liao Yaoxiang was a Nationalist Chinese general best known for commanding Kuomintang forces in major campaigns of the Chinese Civil War, including the Liaoshen Campaign.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0cdb3c88190a74f75bf865664f3 |
completed | April 2, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3174bc46081909d78cdb524625ec3 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:03 p.m.