Triple

T31664595
Position Surface form Disambiguated ID Type / Status
Subject Prince Demchugdongrub E808091 entity
Predicate nameInChinese P4878 FINISHED
Object 德穆楚克栋鲁普
德穆楚克栋鲁普是中国近现代史上一位蒙古族王公与政治人物，曾在日本扶植下担任蒙古联盟自治政府的领导者。
 E1970715 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: 德穆楚克栋鲁普 | Statement: [Prince Demchugdongrub, nameInChinese, 德穆楚克栋鲁普]
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: 德穆楚克栋鲁普
Triple: [Prince Demchugdongrub, nameInChinese, 德穆楚克栋鲁普]
Generated description
德穆楚克栋鲁普是中国近现代史上一位蒙古族王公与政治人物，曾在日本扶植下担任蒙古联盟自治政府的领导者。

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_69f348dbeef4819080b446a7feb6340b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aa2811a08190bd7adcf79e834c24 completed May 3, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b79ee83f081909fd5ce49a5e717ff completed June 12, 2026, 3:15 a.m.
NEDg Description generation batch_6a2b7ad82acc8190abb3d91b02dd8524 completed June 12, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7b84ec00819086a25d9ff017a6b1 completed June 12, 2026, 3:22 a.m.
Created at: April 30, 2026, 10:58 p.m.