Triple
T11673112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yunmen Wenyan |
E277427
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Wenyan |
E277427
|
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: Wenyan | Statement: [Yunmen Wenyan, birthName, Wenyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenyan Context triple: [Yunmen Wenyan, birthName, Wenyan]
-
A.
Lishu
Lishu is an ancient Chinese clerical script that emerged during the Qin and Han dynasties, marking a key transition from earlier seal scripts to more regular, standardized writing forms.
-
B.
Guangyun
Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
-
C.
Yunmen Wenyan
chosen
Yunmen Wenyan was a renowned 10th-century Chinese Chan master and founder of the Yunmen school, celebrated for his terse, enigmatic teaching style and influential role in Zen koan literature.
-
D.
Zhong Wen
Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
-
E.
Chóngwénmén
Chóngwénmén is a historic gate area in central Beijing, China, known today as a major commercial and transportation hub.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.