Triple
T27113595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马思纯 |
E686779
|
entity |
| Predicate | 代表作 |
P4
|
FINISHED |
| Object |
七月与安生
《七月与安生》是一部根据安妮宝贝同名小说改编的中国青春爱情电影,讲述性格迥异的两位女孩从青梅竹马到情感纠葛与自我成长的故事。
|
E1757752
|
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: 七月与安生 | Statement: [马思纯, 代表作, 七月与安生]
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: 七月与安生 Triple: [马思纯, 代表作, 七月与安生]
Generated description
《七月与安生》是一部根据安妮宝贝同名小说改编的中国青春爱情电影,讲述性格迥异的两位女孩从青梅竹马到情感纠葛与自我成长的故事。
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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6240450088190af486dbde3daeacb |
completed | May 2, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a124811f11881909ed52a475884b0b8 |
completed | May 24, 2026, 12:36 a.m. |
| NEDg | Description generation | batch_6a1249280a048190bb0003079b8dfab4 |
completed | May 24, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1249ec94e48190acbcd83ba6d923ea |
completed | May 24, 2026, 12:44 a.m. |
Created at: April 27, 2026, 8:55 a.m.