Triple

T26459042
Position Surface form Disambiguated ID Type / Status
Subject Mao Xueying E665575 entity
Predicate nameInChinese P4878 FINISHED
Object 毛雪莹
毛雪莹是一位中国内地女演员，因在多部影视剧中的青春形象与细腻表演而受到关注。
 E1724503 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: 毛雪莹 | Statement: [Mao Xueying, nameInChinese, 毛雪莹]
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: 毛雪莹
Triple: [Mao Xueying, nameInChinese, 毛雪莹]
Generated description
毛雪莹是一位中国内地女演员，因在多部影视剧中的青春形象与细腻表演而受到关注。

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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6129295a081909836581b21c1b416 completed May 2, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aedb41708190a6cdc0de0cbd7a00 completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af82fb088190bee576d403827a3e completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02e363c8190926886514d5ba6a0 completed May 23, 2026, 1:48 p.m.
Created at: April 27, 2026, 12:11 a.m.