Triple

T33248942
Position Surface form Disambiguated ID Type / Status
Subject Dream of the Red Chamber E851183 entity
Predicate completionAttributedTo P17913 FINISHED
Object Cheng Weiyuan
Cheng Weiyuan was a Qing dynasty editor and publisher best known for helping compile and disseminate the later, expanded versions of the classic Chinese novel "Dream of the Red Chamber."
E2178783 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: Cheng Weiyuan | Statement: [Dream of the Red Chamber, completionAttributedTo, Cheng Weiyuan]
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: Cheng Weiyuan
Triple: [Dream of the Red Chamber, completionAttributedTo, Cheng Weiyuan]
Generated description
Cheng Weiyuan was a Qing dynasty editor and publisher best known for helping compile and disseminate the later, expanded versions of the classic Chinese novel "Dream of the Red Chamber."

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_69f34962386c81909ddc3bf9e18ddeb8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f73c81dba081909f5883c16f3da344 completed May 3, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d5fb7e0819097e50cdcbc3f16e5 completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a3982048b2c81908600ba0a88de55e9 completed June 22, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_6a39853c4d84819092fccb609d8c5195 completed June 22, 2026, 6:55 p.m.
Created at: May 1, 2026, 1:31 a.m.