Triple

T33223320
Position Surface form Disambiguated ID Type / Status
Subject Jiang Mianheng E850481 entity
Predicate nativeName P15 FINISHED
Object 江绵恒
江绵恒是中国物理学家和企业家,曾长期在中国科学院和上海科技界担任重要职务,并以江泽民之子这一身份广为人知。
E2041441 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: 江绵恒 | Statement: [Jiang Mianheng, nativeName, 江绵恒]
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: 江绵恒
Triple: [Jiang Mianheng, nativeName, 江绵恒]
Generated description
江绵恒是中国物理学家和企业家,曾长期在中国科学院和上海科技界担任重要职务,并以江泽民之子这一身份广为人知。

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_69f3496083dc8190b229bb6932dc548b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6da734c8081908108a16f9d54a2fd completed May 3, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fd5c9d8819083e5a88a680bd801 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a35305f697c8190b02d778d33f27178 completed June 19, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a353242c8148190910123613145e495 completed June 19, 2026, 12:12 p.m.
Created at: May 1, 2026, 1:30 a.m.