Triple

T27241065
Position Surface form Disambiguated ID Type / Status
Subject White movement commander E687208 entity
Predicate notableCommander P1197 FINISHED
Object Mikhail Drozdovsky
Mikhail Drozdovsky was a Russian Imperial Army officer and prominent White movement general during the Russian Civil War, known for his staunch anti-Bolshevik stance and leadership in the Volunteer Army.
E2294142 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: Mikhail Drozdovsky | Statement: [White movement commander, notableCommander, Mikhail Drozdovsky]
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: Mikhail Drozdovsky
Triple: [White movement commander, notableCommander, Mikhail Drozdovsky]
Generated description
Mikhail Drozdovsky was a Russian Imperial Army officer and prominent White movement general during the Russian Civil War, known for his staunch anti-Bolshevik stance and leadership in the Volunteer Army.

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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6267d1440819095cd651478334377 completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b845e6d108190af030f1cb5a06bea completed Aug. 11, 2026, 8:21 p.m.
NEDg Description generation batch_6a7b84b51c4c8190b75f380f906183b0 completed Aug. 11, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a7b850d62a48190916830ee8857538a completed Aug. 11, 2026, 8:24 p.m.
Created at: April 27, 2026, 10:37 a.m.