Triple

T17824925
Position Surface form Disambiguated ID Type / Status
Subject Anna Ivanovna of Russia E445089 entity
Predicate advisor P167 FINISHED
Object Andrey Osterman
Andrey Osterman was a prominent 18th-century Russian statesman and diplomat who played a key role in shaping the foreign and domestic policy of the Russian Empire under Empress Anna Ivanovna and her successors.
E1923316 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: Andrey Osterman | Statement: [Anna Ivanovna of Russia, advisor, Andrey Osterman]
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: Andrey Osterman
Triple: [Anna Ivanovna of Russia, advisor, Andrey Osterman]
Generated description
Andrey Osterman was a prominent 18th-century Russian statesman and diplomat who played a key role in shaping the foreign and domestic policy of the Russian Empire under Empress Anna Ivanovna and her successors.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891352ac8190ad3d669fea1c9fbb completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2863aaf76881909b9ee85edfa2bdbe completed June 9, 2026, 7:04 p.m.
NEDg Description generation batch_6a2866c192088190a41c695f10cd238d completed June 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_6a286737b96c8190a559e995190ab7cb completed June 9, 2026, 7:19 p.m.
Created at: April 10, 2026, 10:15 a.m.