Triple
T27848425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Qingzhao |
E703886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Yi Jian Mei · Hong Su Shou
"Yi Jian Mei · Hong Su Shou" is a renowned ci poem by Song dynasty poet Li Qingzhao, celebrated for its delicate imagery and poignant expression of longing.
|
E1792791
|
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: Yi Jian Mei · Hong Su Shou | Statement: [Li Qingzhao, notableWork, Yi Jian Mei · Hong Su Shou]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yi Jian Mei · Hong Su Shou Triple: [Li Qingzhao, notableWork, Yi Jian Mei · Hong Su Shou]
Generated description
"Yi Jian Mei · Hong Su Shou" is a renowned ci poem by Song dynasty poet Li Qingzhao, celebrated for its delicate imagery and poignant expression of longing.
Provenance (5 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63902f71c8190b26ac186ad00acbf |
completed | May 2, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12f73bbb688190b26d9a718a494201 |
completed | May 24, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_6a12fb4a4a808190bc0821b2bc754da0 |
completed | May 24, 2026, 1:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12fd21fb2c8190b52459bd901c05a0 |
completed | May 24, 2026, 1:29 p.m. |
Created at: April 27, 2026, 6:09 p.m.