Triple
T23015887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Xiaobo |
E573028
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Xiaobo |
—
|
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: Xiaobo | Statement: [Liu Xiaobo, givenName, Xiaobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiaobo Context triple: [Liu Xiaobo, givenName, Xiaobo]
-
A.
Xiaobo
chosen
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
-
B.
Xiaochuan
Xiaochuan is the given name of Chinese professional basketball player Zhai Xiaochuan, known for his career in the Chinese Basketball Association and appearances with the national team.
-
C.
Xiao He
Xiao He was a prominent early Han dynasty statesman and strategist who played a crucial role in Liu Bang’s rise to power and the establishment of the Han Empire.
-
D.
Xiao He
Xiao He is a Chinese avant-folk musician and singer-songwriter known for his experimental, genre-blending compositions and innovative live performances.
-
E.
Xiaoding
Xiaoding is the posthumous honorific title of Empress Dowager Xiaoding, a high-ranking imperial consort and mother of an emperor in Chinese history.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e4dcd48190b2b1c2ab43205e41 |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:51 p.m.