Triple

T32792982
Position Surface form Disambiguated ID Type / Status
Subject Quiet Night Thought E838679 entity
Predicate hasChineseTitle P51900 FINISHED
Object 静夜思
《静夜思》是一首由唐代诗人李白创作的著名五言绝句，描写夜晚思乡之情。
 E2023997 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: 静夜思 | Statement: [Quiet Night Thought, hasChineseTitle, 静夜思]
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: 静夜思
Triple: [Quiet Night Thought, hasChineseTitle, 静夜思]
Generated description
《静夜思》是一首由唐代诗人李白创作的著名五言绝句，描写夜晚思乡之情。

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_69f3493c7f6881908edf2aa13631d1e0 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd78bc58819097ec66b02432b1c2 completed May 3, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b16c42248190abbe1cd7d452b46f completed June 19, 2026, 3:03 a.m.
NEDg Description generation batch_6a34b2f0f04881909798d27de56fcb58 completed June 19, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a34b3a55e608190a35c1a177903f015 completed June 19, 2026, 3:12 a.m.
Created at: May 1, 2026, 1:14 a.m.