Triple

T27113598
Position Surface form Disambiguated ID Type / Status
Subject 马思纯 E686779 entity
Predicate 代表作 P4 FINISHED
Object 橙红年代
《橙红年代》是一部根据骁骑校同名小说改编的中国都市刑侦题材电视剧,讲述底层青年与女警携手打击犯罪、守护城市正义的故事。
E1757755 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: 橙红年代 | Statement: [马思纯, 代表作, 橙红年代]
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: 橙红年代
Triple: [马思纯, 代表作, 橙红年代]
Generated description
《橙红年代》是一部根据骁骑校同名小说改编的中国都市刑侦题材电视剧,讲述底层青年与女警携手打击犯罪、守护城市正义的故事。

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.