Triple
T8158094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiong Yi |
E190503
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Xiong |
E704506
|
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 | Statement: [Xiong Yi, familyName, Xiong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiong Context triple: [Xiong Yi, familyName, Xiong]
-
A.
Xiong
chosen
Xiong is a Chinese surname historically associated with the Xiong clan, a prominent lineage in ancient China.
-
B.
Xue
Xue is a Chinese surname borne by various notable historical and contemporary figures.
-
C.
Xing
Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
-
D.
Xiang
Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
-
E.
Jian
Jian is the given name of Ma Jian, a prominent Chinese-born writer known for his politically charged fiction and essays critical of contemporary 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb44da14a481909f8d3277762b0e75 |
completed | March 31, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf21ab2c8190af23b4a3a4bdb543 |
completed | April 1, 2026, 6:45 a.m. |
Created at: March 30, 2026, 5:38 p.m.